kujta1
Remote: Yes, part-time (contract or advisory)
Willing to relocate: No
Technologies: Python, C++, SQL, PyTorch, TensorFlow/Keras, Transformers, Hugging Face, YOLO, Segment Anything, LightGlue, OpenCV, scikit-learn, ONNX, FAISS, Kalman filters, OCR (Tesseract, docTR), MLflow, W&B, Ray, Docker, AWS, GCP, Azure
Résumé/CV: https://bit.ly/cvhackernews
Email: kujtim.rahmani [at] gmail [dot] com
Computer vision and ML engineer with a PhD in computer science (Germany) and 12+ years building vision systems from data collection to production.
What I've built: real-time smoke and fire detection (day and night), multi-camera crowd tracking, object detection, counting and 3D reconstruction in warehouses, defect detection in X-ray and CT scans of manufactured parts (99.9% accuracy on pore detection), visual search with metric learning and FAISS, image-based oral health diagnostics, and OCR/document extraction pipelines.
Teams: led a computer vision team of engineers and annotators through the full cycle, from data acquisition and annotation to deployment. Also led a 26-month detection rebuild that reached real-time performance and saved millions of $
Advisory and contract: AI architecture for a national smart-city program (urban detection, counting, crowd tracking), a museum digitization platform (segmentation and visual search), and distributed training infrastructure for an autonomous driving project. I've also advised AI projects in fintech and manufacturing.
Teaching: university lecturer in Linear Algebra and Data Science. I've trained 2,000+ public-sector and banking staff in applied generative AI (Microsoft Certified Trainer).
Looking for: part-time contract or advisory work, including hands-on CV/ML development, architecture reviews, or helping a team take a model from prototype to production.
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: [email protected]
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
I am a Computer Vision/Machine Learning Engineer with 10 years of experience, encompassing more than 5 years hands-on industrial involvement, coupled with 4 years of academic pursuits within the field of Computer Vision and Machine Learning. During my tenure, I have worked with more than 5 startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
I am a Computer Vision/Machine Learning Engineer with 10 years of experience, encompassing more than 5 years hands-on industrial involvement, coupled with 4 years of academic pursuits within the field of Computer Vision and Machine Learning. During my tenure, I have worked with more than 5 startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
I am a Computer Vision/Machine Learning Engineer with 10 years of experience, encompassing more than 5 years hands-on industrial involvement, coupled with 4 years of academic pursuits within the field of Computer Vision and Machine Learning. During my tenure, I have worked with more than 5 startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
I am a Computer Vision/Machine Learning Engineer with 9 years of experience, encompassing more than 5 years hands-on industrial involvement, coupled with 4 years of academic pursuits within the field of Computer Vision and Machine Learning. During my tenure, I have worked with more than 5 startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
I am a Computer Vision/Machine Learning Engineer with 9 years of experience, encompassing more than 5 years hands-on industrial involvement, coupled with 4 years of academic pursuits within the field of Computer Vision and Machine Learning. During my tenure, I have worked with more than 5 startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Azure, Tensorflow, Docker, GitHub, SQL
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Azure, Tensorflow, Docker, GitHub, SQL
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Azure, Tensorflow, Docker, GitHub, SQL
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Azure, Tensorflow, Docker, GitHub, SQL
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Azure, Tensorflow, Docker, GitHub, SQL
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/48Hegp8
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/3TencKd
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Azure, Tensorflow, Docker, GitHub, SQL
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/3TencKd
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Tensorflow, Docker, GitHub, SQL, FAISS,
Other: Computer Vision, Deep Learning, Machine Learning, Image Processing, Object Detection, Object Tracking, Semantic Segmentation, Kalman Filtering, Random Forests.
Résumé/CV: https://bit.ly/3TencKd
Email: [email protected]
As a Computer Vision/Machine Learning Engineer, I possess over 8 years of experience, with more than 4 years of experience in both academia and industry in the fields of Computer Vision and Machine Learning. During my tenure, I have worked with four startups, where I have successfully built products from scratch. Furthermore, I have also worked as a consultant for esteemed clients such as the German Automotive industry and Heraeus Group, and as a Data Scientist researcher for Airbus.
In my pursuit of a Ph.D. in Computer Science with a focus on Computer Vision and Machine Learning, I have developed expertise in hybrid methods, utilizing both traditional Machine Learning and Deep Learning techniques, for urban scene understanding. Additionally, I have a keen interest in discrete math and algorithms, and have participated in over 100 competitions where I have solved various math problems and algorithms. I am particularly proud of being a national math champion in North Macedonia during high school.