At Cere Labs, I lead a five-person team building AI-driven automation for FDA eCTD dossier generation, processing 100+ documents per dossier and reducing manual effort.
I transform unstructured regulatory datasets into structured outputs, deliver containerized production deployments with Docker, and work directly with clients on requirements, knowledge transfer, and environment setup. I also took ownership of a partially completed SAP-to-SAP and SQL-to-SQL migration, synchronizing gigabytes of data across 50,000 tables through to completion.
For ReguLens, I built an AI compliance copilot using Python and Streamlit to automate policy gap analysis against regulatory guidelines. I implemented semantic retrieval, cross-encoder reranking, and Gemini 1.5 Flash to generate remediation plans and executive summaries.
I contribute through code reviews, debugging, testing, and system design in Agile teams. I’ve also contributed to OpenWISP’s Python and Django migration and mentored teams building AI/ML and LLM solutions at a national hackathon.
