Rushil Sheth
Applied AI Engineer at Salient
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRushil Sheth is an Applied AI Engineer in San Francisco with 10 years of experience building production-grade generative AI, recommendation systems, and scalable ML infrastructure. He has led end-to-end ML efforts—from LLM-based assistants and agentic workflows to personalized content pipelines—that drove product growth and strategic outcomes, including work that contributed to an acquisition. Trained in applied mathematics, statistics, and data science (UC Berkeley and USF), Rushil combines strong quantitative foundations with hands-on deployment experience across startups and enterprise teams. He’s particularly focused on human-aligned models and pragmatic infra for shipping reliable AI, and brings a rare blend of product sensibility from roles spanning analytics, credit operations, and sports analytics. Outside core engineering, he has a track record of cutting operational friction through tooling and dashboards, and enjoys collaborating on model alignment and meaningful AI tools.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s of Arts Applied Mathematics Mathematical Biology, Bachelor’s of Arts Applied Mathematics Mathematical Biology at University of California, BerkeleyMaster of Science - MS Data Science, Master of Science - MS Data Science at University of San FranciscoHigh School High School Student, High School High School Student at John Burroughs School
Github Skills (11)
data-structures10
gpt10
vector-database10
fine-tuning10
application10
llm10
javascript4
nodejs4
css4
react4
analytics3
Programming languages (2)
Github contributions (5)
atullanka/stat159-fall2016-project2
Oct 2016 - Dec 2016
Contributions:2 PRs, 76 pushes, 3 branches in 2 months
zyyucla/stat159-fall2016-project3
Nov 2016 - Dec 2016
Contributions:63 pushes in 1 month
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