Building production ML systems at the intersection of healthcare data, large language models, and applied deep learning. Currently at XponentL (Genpact) and finishing an M.S. in Data Science at UVA.
I'm a Software Engineer focused on AI and machine learning, with a background that spans healthcare data pipelines, applied computer vision, and LLM-powered systems. I care about building things that work in production — not just in notebooks.
Before moving into AI/ML engineering, I spent six years as a Data Analyst in private equity, which gave me a strong foundation in working with messy, high-stakes data and communicating technical findings to non-technical stakeholders.
I'm currently completing an M.S. in Data Science at the University of Virginia (4.0 GPA, graduating August 2026), with coursework focused on deep learning, Bayesian statistics, and NLP. I'm actively exploring research roles and positions at the frontier of applied AI.
Open to roles in AI/ML engineering, applied research, and data science. Graduating August 2026 — available for full-time positions. Willing to relocate to Bay Area, NYC, or Seattle.