At CoinQuant, I built and own an internal LLM automation platform using Anthropic Claude models and Node/Python tooling. Its 115+ version-controlled workflows support extraction, classification, and triage, with validation gates before outputs ship.
I architected a serverless data-processing platform on AWS Lambda that runs 800+ concurrent Python jobs over historical market datasets with zero production failures. I also delivered a slippage model and multi-position scaling engine that improved data accuracy in financial simulations.
As Team Lead - Algorithmic Trader, I lead a team of five engineers through sprint planning and code reviews, with a strict unit and integration testing culture. Earlier at CoinQuant, I developed backtesting APIs and a user interface, and built a cross-platform mobile application using React Native and Firebase.
