Senior ML Engineer | Computer Vision, Document AI & Agentic Systems
Portfolio · Resume (PDF) · LinkedIn · Email
I'm a Senior ML Engineer developing document intelligence and engineering-analysis workflows. My work connects models, evaluation and the software needed to use them. Document AI
- Agnitra — Python SDK and CLI for model profiling, runtime telemetry and inference optimization. PyPI release · Engineering notes
- CV Repro Lab — Reproducible computer-vision experiments across Colab, Kaggle and GPU VMs, with benchmarks and reviewable run artifacts. Source & examples
- Artifact Redactor — Redact sensitive text patterns from logs, Markdown and JSON; flag unsupported files for review. Source & examples
- Vehicle Lab — Open-source notebook for CAD inspection, design revisions and recorded simulation.
Calorio — AI meal logging in Telegram
Built and maintain a service that helps people keep a food diary using meal photos, voice messages and text. I handle multimodal recognition, the logging workflow, deployment and technical support.
Try the bot · Engineering case study
- Carb Manager — Shipped food recognition and nutrition-label extraction across cloud, iOS and Android.
- CFT — Built financial-document recognition models, assisted annotation and mobile meter-recognition workflows.
- Dermaself — Developed guided capture, pore and wrinkle segmentation, and mobile/API integration for cosmetic skin analysis. Case study
- Video search — Delivered ASR/OCR pipeline upgrades and Qdrant retrieval combining BM25 with dense embeddings. Case study
- LigninQC — Literature-discovery and evidence-audit tooling for computational lignin research, with source provenance and publication-version grouping.
- Engineering analysis — Professional experience with computer vision for engineering drawings and 3D geometry; private company R&D.
- Models: Python · PyTorch · OpenCV · OpenMMLab · ONNX Runtime
- Systems: FastAPI · PostgreSQL · Qdrant · Docker · GCP · ClearML
- Mobile: Flutter · Dart · C++