Nambi Srivatsav
Founding AI Scientist & Engineer at Elementary
Greater Phoenix Area United States
Summary
👤
Senior🎓
Top SchoolNambi 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.
11 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 UniversityBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Vellore Institute of Technology
Github Skills (22)
scene-text10
lstm10
easyocr10
image-processing9
python9
information-retrieval9
ocr9
data-mining9
optical-character-recognition9
deep-learning8
machine-learning8
pytorch8
algorithm6
robotics6
dimensionality-reduction5
Programming languages (2)
Github contributions (5)
Nambi-Srivatsav/Deep-Learning-Based-Collision-Avoidance
Jun 2018 - Sep 2018
Contributions:18 commits, 16 pushes, 1 branch in 3 months
Nambi-Srivatsav/Sparse-Latent-Policy-Search
Jul 2018 - Apr 2019
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
dimensionality-reductionreinforcement-learning
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