Ansh Tulsyan
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAnsh Tulsyan is a Research Scientist in AI/ML with eight years of experience building production-grade AI tools and infrastructure, currently pursuing a BS in Computer Engineering at UIUC. At AMD he reduced LLM tool spin-up from three weeks to four hours, deployed telemetry ingesting 100M+ tokens/day, and helped roll out an AI coding IDE used by 500+ engineers. He proposed a novel reward function and benchmark suite for AI-assisted verification, authored an internal paper “Measuring What Matters in AI Debugging,” and maintains services relied on daily by large engineering teams. As founder of a HIPAA-compliant startup, he led adoption of automated EHR note-taking that dramatically improved documentation efficiency, demonstrating a knack for turning research into impactful products. Based in Austin, he combines deep systems and ML engineering with practical productization skills and a focus on human-computer interaction. Colleagues describe him as someone who bridges silicon-focused tooling and developer experience, often surfacing evaluation metrics others miss.
8 years of coding experience
3 years of employment as a software developer
Delhi Public School Bangalore EastBachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at University of Illinois Urbana-Champaign
Github Skills (32)
load-balancing10
nvidia10
gateway10
azure-openai10
logging10
rust10
anthropic10
langchain9
python9
llm9
ai9
openai9
llmops9
azure9
vertex-ai9
Programming languages (5)
Github contributions (5)
PythonicNoob/PracticalJournal_Class11
Oct 2020 - Jan 2021
Computer Practical Journals Code
Contributions:38 commits, 9 PRs, 28 pushes in 2 months
practicaljavapythonjournals
EconHacks-Bangalore/hackathon-website
Aug 2021 - Oct 2021
Contributions:3 PRs, 26 pushes in 2 months
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