Ajinkya Jain

Senior Software Engineer at Google

Mountain View, California, United States
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Summary

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Senior
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Top School
Ajinkya Jain is a Senior Software Engineer and roboticist with 12 years of experience blending AI, machine learning, and control theory to enable dexterous robot manipulation. He holds a Ph.D. from UT Austin and has published at CoRL, RSS, and IROS while open-sourcing implementations that bridge research and production. His work spans learning object interaction models from images and demonstrations, trajectory optimization under uncertainty, and practical robot systems built in Python and C++ with PyTorch/TensorFlow. At companies from Vicarious to Intrinsic and now Google, he has shipped high-precision visual servoing and planning systems that demonstrate sim-to-real robustness. Notably, his Ph.D. contributions include a POMDP-guided trajectory optimizer and a hybrid kinematics learning method that improved articulation accuracy up to 3x, reflecting a rare mix of theoretical depth and hands-on engineering.
code13 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at The University of Texas at Austin
bookIndian Institute of Technology Kanpur
languagesEnglish, Hindi, Marathi, German
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Stackoverflow

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1reputation
50reached
0answers
1question
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Github Skills (16)

robotics9
kubernetes7
opencv6
docker6
docker-container6
modeling-tool6
dynamics5
power-systems5
modeling5
simulation5
agent-based-modeling4
ros3
vector2
urdf2
hybrid1

Programming languages (4)

C++GoJupyter NotebookPython

Github contributions (5)

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Aritculation Model Learning from depth images
Contributions:6 PRs, 234 pushes, 14 branches in 7 months
deep-learningpythonmachine-learningdepth
jainajinkya/Biped-Gait

Sep 2014 - Jun 2015

Contributions:49 commits, 32 pushes in 8 months
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