San Mateo, California, United States
Machine Learning scientist/engineer who builds full-stack ML/AI systems end to end—designing schemas and foundational datasets, standing up pipelines, training & distilling models when it actually helps, and, keep researching and innovating to make models reliable in production. My work and area centers LLM agentic workflows, Post Training, and generative recommendations/search, backed by reproducible experiments, evaluations and master of data. Over the past year these systems have created $600M+ in value; over the last three years, $1B+. I care about scalable, data-driven execution and shipping responsibly—turning AI ideas into measurable value.
Agentic Search & Recommendation, Retreival & Ranking, Post Training
15 Patents on LLM agentic customer service, Time Series Forecast, Geo location optimization, CLV modeling, Behavior data understanding & prediction
Assist projects in part of data engineering work and deal with missing values in collected datasets. Using different coding packages to come true the simulation process of the real market.