Huating S is a data analyst with a decade of experience applying ML, NLP, and scalable data engineering to healthcare, regulatory, and marketplace problems across academia, startups, and Big Tech. Currently at Meta, she previously built production-grade RAG systems, fine-tuned LLMs for regulatory compliance, and engineered document pipelines that enabled cross-version rule comparison and a 30% accuracy boost for compliance answers. Her background combines a CMU master's in healthcare analytics and a UW BS in GIS, which shows up in interdisciplinary projects from geospatial web mapping to medical forum sentiment analysis. She has a track record of turning messy, large-scale data into actionable dashboards and cost-saving insights (e.g., a $20M projected savings opportunity) while optimizing for latency and token costs in deployed LLM systems. Colleagues would describe her as the kind of analyst who asks the clarifying questions the data didn’t—then engineers the pipeline to answer them.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Geographic Information System (Data Science and Informatics), Bachelor of Science - BS, Geographic Information System (Data Science and Informatics) at University of Washington
High School Diploma, High School Diploma at Portsmouth Christian Academy
Master of Healthcare Analytics and Information Technology, Master of Healthcare Analytics and Information Technology at Carnegie Mellon University
Contributions:622 commits, 3 PRs, 596 pushes in 3 years
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