Data scientist and machine learning engineer working on tabular deep learning, LLM applications, and production ML systems.

Currently building DeepTab, an open-source library for tabular deep learning, with a focus on clean APIs, reproducible experiments, testing, documentation, and stable releases.

Also building LLM based document extraction, using tools such as Python, FastAPI, MLflow, Docker, Azure, OCR, and MongoDB.