Document AI
R&D for source-linked specialist review: document extraction, deterministic checks and retrieval over reference material.
Senior ML Engineer
Computer vision, document AI and agentic systems, from R&D to maintained products.
Senior ML Engineer working on document intelligence and engineering analysis. Previously shipped mobile and cloud computer vision at Carb Manager and developed financial-document recognition at CFT.
R&D for source-linked specialist review: document extraction, deterministic checks and retrieval over reference material.
Built and released an engineering notebook connecting CAD inspection, digital prototyping, revision decisions and recorded simulation, with a reusable Python CLI and interactive 3D viewer.
Skin-analysis computer vision for Dermaself, connecting guided mobile capture with pore and wrinkle segmentation and usable results.
A published Python SDK and CLI for inspecting model runtime and applying inference optimizations within existing ML workflows.
A maintained Telegram service that helps people keep a food diary with meal photos, voice messages and text.
Video search case study combining keyframes, ASR/OCR, object and face signals, visual embeddings, transcript embeddings, and hybrid retrieval.
OCR, detection, segmentation and multimodal retrieval, from model experiments to server and on-device inference.
Hybrid retrieval, source-linked answers and human review for document and tool-based workflows.
Profiling, model packaging, evaluation and deployment across cloud and mobile.
Python, PyTorch, OpenMMLab, OpenCV, ONNX Runtime, FastAPI, OCR, retrieval, LLM/VLM systems, Docker, ClearML, Cloud Run