I am a Lead Applied Scientist at Microsoft Healthcare & Life Sciences, building end-to-end ML systems that span prompt engineering, fine-tuning & scaling, evaluation & benchmarking, and data analysis.

In regulated domains like healthcare, I also use synthetic data generation, de-identification, and surrogation to enable safe experimentation when real data cannot be used.

My experience includes multilingual clinical note generation, autonomous driving scene analytics, RAG chatbots, and demand forecasting platforms — always with the aim of delivering reliable, responsible AI that solves real problems.

Currently, my main focus is Dragon Copilot, where I lead applied research on clinical note generation for the EU market, with a strong emphasis on compliance, safety, and real-world adoption.