Summary
Suhas Chundi is a machine learning researcher and engineer with a decade of experience building generative and decision-making systems, currently contributing to Scale AI’s Generative Platform. He holds BS/MS-level training in Computer Science and Symbolic Systems from Stanford and has a track record of transitioning academic ideas into applied systems across autonomous driving, climate AI, and interpretability. His published research on constrained POMDPs and autonomous perception signals strength in both theoretical foundations and real-world evaluation. At Scale and prior internships, he has implemented distributed workflows and production-ready ML components, showing fluency in scaling research prototypes. Based in the Bay Area, Suhas blends deep research rigor with hands-on engineering to push generative models from lab benchmarks toward deployable platforms.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Junior, Bachelor's degree, Computer Science, Junior at Stanford University