deepmodel
Remote: Yes
Willing to relocate: No, but work with US-based customers all the time (W8-BEN)
Technologies: anything LLM, fine-tuning/alignment, AI agents, custom harnesses; recent Stanford/GT on resume
Résumé/CV: Upon request; I worked on well-known visual AI agents (2024), custom agentic harnesses for a Toptal-like AI agency, automated and accelerated some cognitive sub-processes of a large company, LLM model router etc. My latest project has just concluded and am now looking for a new one after a vacation
Email: deepmodel at protonmail.com
Remote: Remote-only
Willing to relocate: H1B/O1 is complicated, unlikely
Technologies: Recently finished designing LLM core of the currently world's best AI Agents implementation (in production, already magazine awards); low-hallucination rate, low latency, multilingual RAG with real-time avatar video; PyTorch/TensorFlow, OpenAI/Anthropic/Mistral/Meta; both user-driven and agent-driven conversation tech; generative AI; Stanford ML educated
Résumé/CV: upon request
Email: deepmodel (at) protonmail.com
Location: Frankfurt/Germany
Remote: Yes (W8BEN for US clients)
Willing to relocate: No
Technologies: PyTorch, Huggingface, TensorFlow, Python, Java, JavaScript, AWS, Docker/Kubernetes, Large Language Models, Stable Diffusion, Vision Transformer, OpenCV (tracking, SfM, SLAM etc.), monolith-to-microservice conversion on AWS, AWS cost optimization
CV: Upon request; Deep Learning @ Stanford, ML @ Georgia Tech, business @ UIUC; worked for some well-known companies in SW engineering roles on exciting products before moving to consulting (as an engineering VP)
Email: [email protected]
Remote: Yes (W8BEN for US clients)
Willing to relocate: No
Technologies: PyTorch, Huggingface, TensorFlow, Python, Java, JavaScript, AWS, Docker/Kubernetes, Large Language Models, Stable Diffusion, Vision Transformer, OpenCV (tracking, SfM, SLAM etc.), monolith-to-microservice conversion on AWS, AWS cost optimization
CV: Upon request; Deep Learning @ Stanford, ML @ Georgia Tech, business @ UIUC; worked for some well-known companies in SW engineering roles on exciting products before moving to consulting (as an engineering VP)
Email: [email protected]
Remote: 100%
Willing to relocate: only to sunny weather
Technologies: Keras, PyTorch, Horovod, PySpark etc.
Résumé/CV:
- AI-based image/vector editor (US)
- multi-camera human sports activity tracking and video editor (EU)
- microscopic manufacturing defect detection (EU)
- 3D indoor reconstruction using SLAM (US)
- mobile traffic anomaly/fraud detection, CLV estimation (EU)
- detailed CV upon request
- 3-6 months intense projects preferred, full pipelines (app development, algorithm and model construction, deployment)
- US work via W8-BEN
- worked/studied at top companies/universities
Email: deepmodel (at) protonmail.com
Location: Germany, work world-wide
Remote: 100%
Technologies: Keras, PyTorch, Horovod, PySpark etc.
Résumé/CV:
- AI-based image/vector editor (US)
- multi-camera human sports activity tracking and video editor (EU)
- microscopic manufacturing defect detection (EU)
- 3D indoor reconstruction using SLAM (US)
- mobile traffic anomaly/fraud detection, CLV estimation (EU)
- detailed CV upon request
- 3-6 months intense projects preferred
- US work via W8-BEN
- worked/studied at top companies/universities in the past
Email: deepmodel (at) protonmail.com
Location: Germany, work world-wide
Remote: 100% remote
Willing to relocate: No
Technologies: TensorFlow, PySpark etc.
Résumé/CV:
- multi-camera human sports activity tracking
- manufacturing defect detection for automotive industry with Deep Learning
- 3D indoor reconstruction using SLAM
- mobile traffic anomaly/fraud detection
- detailed CV upon request
- best 3-6 months intense projects; no management positions at the moment
- US clients via W8-BEN
Email: deepmodel (at) protonmail.com
Remote: Yes
Willing to relocate: No
Technologies: Keras/TensorFlow (recent arXiv models), Python, PySpark, Java, C++, CUDA, mostly computer vision & large scale 3D processing and visualization
Résumé/CV:
- manufacturing defect detection for automotive industry with Deep Learning (<2% real-world false positive rate)
- detecting anomalies in human activities from pair-wise spatio-temporal relationships of human pose estimates in continuous video feed using time-distributed attention-enhanced VRNNs
- 3D indoor reconstruction using SLAM, randomized non-linear optimization, semantic segmentation and depth estimation from mobile video feed (ensemble)
- Mobile traffic anomaly/fraud detection (GBT + discrete VRNN)
- Image content filtering using Deep Learning (DenseNet)
- Diagnosing lung diseases from X-Ray images (CheXNet), surpassing human level performance
- End-to-end self-driving car control (NVidia Dave2Net)
- MS from a top US school, worked for some of the best tech companies; detailed CV upon request
Email: deepmodel (at) protonmail.com
Location: Germany, work world-wide
Remote: Yes, remote-only
Willing to relocate: No
Technologies: Keras/TensorFlow (recent arXiv models), Python, PySpark, mostly computer vision & large scale 3D processing and visualization
Résumé/CV:
- manufacturing defect detection for automotive industry with Deep Learning (<2% real-world false positive rate)
- detecting anomalies in human activities from pair-wise spatio-temporal relationships of human pose estimates in continuous video feed using time-distributed attention-enhanced VRNNs
- 3D indoor reconstruction using SLAM, randomized non-linear optimization, semantic segmentation and depth estimation from mobile video feed (ensemble)
- Mobile traffic anomaly/fraud detection (GBT + discrete VRNN)
- Image content filtering using Deep Learning (DenseNet)
- Diagnosing lung diseases from X-Ray images (CheXNet), surpassing human level performance
- End-to-end self-driving car control (NVidia Dave2Net)
- MS from a Top US school, worked for some of the best tech companies; detailed CV upon request
Email: deepmodel (at) protonmail.com
Location: Germany, work world-wide
Remote: Yes, remote-only
Willing to relocate: No
Technologies: Keras/TensorFlow (recent arXiv models), Python, PySpark, mostly computer vision & large scale 3D processing and visualization
Résumé/CV:
- manufacturing defect detection for automotive industry with Deep Learning (<2% real-world false positive rate)
- detecting crime in progress from pair-wise spatio-temporal relationships of human pose estimates in continuous video feed using time-distributed attention-enhanced ConvNet-RNNs
- 3D indoor reconstruction using SLAM, randomized non-linear optimization, semantic segmentation and depth estimation from mobile video feed (ensemble)
- Mobile traffic anomaly/fraud detection (GBT + discrete VRNN)
- Image content filtering using Deep Learning (DenseNet)
- Diagnosing lung diseases from X-Ray images (CheXNet), surpassing human level performance
- End-to-end self-driving car control (NVidia Dave2Net)
- Top 10 US school MS education; detailed CV upon request
Email: deepmodel (at) protonmail.com
Remote: Yes, remote-only
Willing to relocate: No
Technologies: Keras/TensorFlow (recent arXiv models), Python, PySpark, mostly computer vision & large scale 3D processing and visualization
Résumé/CV:
- manufacturing defect detection for automotive industry with Deep Learning (<2% real-world false positive rate)
- detecting crime in progress from pair-wise spatio-temporal relationships of human pose estimates in continuous video feed using time-distributed attention-enhanced ConvNet-RNNs
- 3D indoor reconstruction using SLAM, randomized non-linear optimization, semantic segmentation and depth estimation from mobile video feed (ensemble)
- Mobile traffic anomaly/fraud detection (GBT + discrete VRNN)
- Image content filtering using Deep Learning (DenseNet)
- Diagnosing lung diseases from X-Ray images (CheXNet), surpassing human level performance
- End-to-end self-driving car control (NVidia Dave2Net)
- Top 10 US school MS education; detailed CV upon request
Email: deepmodel (at) protonmail.com