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.
A working document-to-interior demo: follow real cabinet callouts through catalog matching, evidence review, ImageGen and downloadable results, with an interactive 3D companion.
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.
A CPU prototype for inspecting a proposed affine image transform, reviewing polygon annotations and verifying decision-bound exports on synthetic data.
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
Independent contributions. Status checked 2026-09-25.
Playable examples: netCDF4 empty selections · pydicom lookup-table indexing.