Surya Jasper is a Machine Learning Engineer based in Union City, CA with seven years of experience building ML-driven tools for hardware and edge systems. Currently at AMD, Surya previously led research at Texas A&M’s Hardware Verification Lab where he developed BugGen and VCDiag—ML frameworks that automate RTL bug generation and waveform fault localization, achieving over 94% classification accuracy and earning publication at the 2025 MLCAD symposium. He has hands-on experience in ML compilation and systems from internships at AMD and nod.ai, contributing to projects like SHARK, LLVM, and OpenXLA’s IREE to run large models on constrained hardware. Comfortable spanning research and production, Surya combines multi-agent LLM pipelines with systems-level engineering to scale dataset generation and debugging workflows. Peers describe him as someone who bridges academic rigor and pragmatic engineering, often surfacing reproducible tools that cut manual triage time dramatically.
7 years of coding experience
1 year of employment as a software developer
Computer Science, Computer Science at Texas A&M University
A website for people with certain dietary restrictions or necessities to easily find food that best suits their needs and track their progress
Contributions:102 commits, 67 pushes in 3 months
reactdietary-restrictionsjavascriptfoodnodejs
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