ML Engineer at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Berkeley, California, United States
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Summary
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Senior
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Top School
Laryn Qi is an ML engineer and UC Berkeley EECS master's student with nine years of hands-on experience building production AI systems, teaching introductory CS at scale, and conducting LLM research for computer science education. She combines industry roles—most recently on Prime Video recommendations and as lead engineer for a B2B multi-agent AI platform—with academic research at UCBAIR that has resulted in publications at NeurIPS, SIGCSE, and CompEd. Laryn regularly teaches and manages large courses (CS 61A) and training programs, giving her rare experience bridging pedagogy, tooling, and large-scale classroom logistics. She’s skilled in deploying and fine-tuning open-source LLMs and embeddings on GCP, building robust RAG pipelines, and shipping infra-quality packages for internal developer use. Based in Berkeley but actively seeking AI/ML engineering, research, quant, and teaching roles in NYC, she brings both product-minded engineering and classroom-tested communication to applied ML problems.
Contributions:24 commits, 4 PRs, 23 pushes in 1 year 3 months
happyreactnextjstypescript
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