Available for short engagements (2–8 weeks), particularly as a hands-on ML/AI contractor.
I build and evaluate production ML systems across computer vision, NLP, and multimodal AI.
Computer vision: detection, segmentation, document understanding, and 3D reconstruction. Most recently, I built a production pipeline that takes floor-plan PDFs and produces wall, door, and window quantities plus 3D geometry at real-world scale, running on serverless GPU infrastructure.
NLP / LLMs: text classification, semantic search, embeddings, content moderation, information extraction, ranking, and automated triage. I've built systems that process large volumes of user-generated content and identify which items actually require human review.
Multimodal AI: combining text, image, and metadata signals for classification, retrieval, evaluation, and document understanding.
ML evaluation: I investigate cases where models look better than they really are, including data leakage.
I can work on an existing model or take a problem from prototype through to a production API.
Happy to start with a paid diagnostic using data you already have.
Remote: Yes
Willing to relocate: No
Technologies: PyTorch, computer vision, object detection, image segmentation, YOLO, NLP, LLMs, multimodal embeddings, FastAPI, GCP, RunPod
Résumé/CV: https://drive.google.com/file/d/1E0xkf_EAjlp12xZpjjXPJaTCA9g...
Email: [email protected]
Available for short engagements (2–8 weeks), particularly as a hands-on ML/AI contractor.
I build and evaluate production ML systems across computer vision, NLP, and multimodal AI.
Computer vision: detection, segmentation, document understanding, and 3D reconstruction. Most recently, I built a production pipeline that takes floor-plan PDFs and produces wall, door, and window quantities plus 3D geometry at real-world scale, running on serverless GPU infrastructure.
NLP / LLMs: text classification, semantic search, embeddings, content moderation, information extraction, ranking, and automated triage. I've built systems that process large volumes of user-generated content and identify which items actually require human review.
Multimodal AI: combining text, image, and metadata signals for classification, retrieval, evaluation, and document understanding.
ML evaluation: I investigate cases where models look better than they really are, including data leakage. I can work on an existing model or take a problem from prototype through to a production API.
Happy to start with a paid diagnostic using data you already have.