Nambi Srivatsav is a founding AI scientist and engineer with a decade of software experience, blending deep learning research for robotics with hands-on product development. Based in the Greater Phoenix Area, he led AI efforts at Elementary while previously conducting funded research at Arizona State University on memory-based imitation and reinforcement learning for autonomous vehicles. His background includes industry roles from conferencing systems at Mitel to robotics internships at ABB, where his work contributed to a patent disclosure for bimanual manipulation. He builds simulation environments from scratch, has applied neural computer architectures in practice, and created educational robot-learning materials funded by Intel. Comfortable across the stack—C/C++, PHP, web UI, and ML research—he uniquely bridges academic rigor and production engineering. Expect a practitioner who turns experimental ML into deployable robotic capabilities.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Arizona State University
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Vellore Institute of Technology
GrouPS algorithm for latent space policy search. GrouPS combines reinforcement learning and dimensionality reduction, while also including prior structural knowledge about the task
Contributions:28 commits, 2 PRs, 26 pushes in 9 months
Contributions:18 commits, 16 pushes, 1 branch in 3 months
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