Senior Applied Scientist
CurrentBuilding ML systems to serve customers at scale. Advising execs and teams on how to solve the right problems with the simplest solution. Educating the Org on ML, RecSys, LLMs.• Designing and shipping centralized LLM systems for new GenAI customer experiences:- Built and deployed guardrails (e.g., content-safety, factual inconsistency) for customer-facing apps.- Built retrieval, clustering, and caching systems, improving output & reducing cost by 80%.- Building finetuning pipeline for task-specific LLMs (e.g., summarization) to address legal/privacy concerns, eliminate dependency of 3rd-party APIs, improve performance, and reduce costs by 90%.- Led the use of LLMs to accelerate and nearly complete a three-year roadmap within a year.• Shipping ML & recommender systems to help customers discover, buy, and read more books:- Built bandit ranker to explore-exploit with sparse feedback; increased CTR XX% and profit $Y mil.- Designed labeling queues to collect ground-truth via strategies for precision, recall, coverage.• Educating & advising organizational leadership and teams as part of Generative AI Working Group.