I'm the Founder at Darmis AI, where we're building Enterprise AI Solutions for Document Intelligence. Based in the NYC area.

Previously, I worked on AI, Data Science and machine-learning systems at The Hanover Insurance Company.

I also contributed to and led research projects with DuckAI, HPLT, and Stability AI research labs.

Focus Areas

• Document Processing - extracting structure from unstructured data
• Workflow Automation - ML-powered routing and orchestration
• Evaluation & Tooling - open-source contributions to ML tooling
• Production ML Systems - bringing models from research to deployment

Technical Stack

Languages: Python, TypeScript, C/C++, Go, Java, OCaml, Elixir

Frameworks: PyTorch, TensorFlow, React, Next.js, Django

Infrastructure: PostgreSQL, Redis, Docker, AWS, Cloudflare

Interests

Outside of work, I'm fascinated by probability and decision theory, market microstructure, betting and forecasting systems, and systems design at scale. I enjoy thinking about how to make better decisions under uncertainty and how complex systems behave.

Feel free to reach out if you're working on interesting problems in document intelligence, ML infrastructure, or want to chat about any of the above.