ML Engineer · Data Scientist
I build applied ML systems and the data pipelines behind them.
Columbia M.S. Data Science, graduating December 2026. I completed a summer internship at VeYou, building BigQuery analytics workflows for internal teams and partners. Earlier: clinical NLP at CUIMC and production GCP systems at Cognizant.
Built to be inspected
Ask a cricket question and inspect the tools behind the answer. Gemini selects endpoints for player statistics, matchups, match analysis, and charts.
Every tool call exposes its arguments and structured result beside the answer.
Turn synthetic health journals into traceable symptom signals, trends, and visit summaries. Every extracted signal retains its source text and evidence span.
A source-first pipeline from journal entry to an immutable, reviewable report.
Practice interviews with resume-specific questions, gap detection, and adaptive follow-ups using retrieval and a fine-tuned language model.
Resume-aware interviews with 18 gap types and inspectable, persistent session state.