Ansh 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.
7 years of coding experience
2 years of employment as a software developer
none, 12th, none, 12th at Delhi Public School Bangalore East
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at University of Illinois Urbana-Champaign
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Ansh Tulsyan - Research Scientist AI ML at IEEE @ UIUC