Ajinkya Jain
About Ajinkya Jain
Ajinkya Jain is a Senior Software Engineer at Intrinsic, specializing in robotics and machine learning. He has a strong academic background with a Ph.D. in Mechanical Engineering from The University of Texas at Austin and has worked in various roles related to robotics and software development.
Work at Intrinsic
Ajinkya Jain has been employed at Intrinsic as a Senior Software Engineer since 2023. His role is based in Mountain View, California. Prior to this position, he worked at Intrinsic as a Roboticist from 2022 to 2023. His experience at Intrinsic encompasses software development and engineering within the robotics domain.
Previous Experience in Robotics
Before joining Intrinsic, Ajinkya Jain worked at Vicarious as a Roboticist for a total of 10 months, split between two separate tenures in 2018 and from 2021 to 2022. His responsibilities included developing algorithms related to robot perception and manipulation. This experience contributed to his expertise in robotics and software engineering.
Education and Expertise
Ajinkya Jain holds a Bachelor’s Degree in Mechanical Engineering from the Indian Institute of Technology, Kanpur, completed in 2014. He further pursued advanced studies at The University of Texas at Austin, where he earned both a Master’s Degree and a Doctor of Philosophy (Ph.D.) in Mechanical Engineering, completing his Ph.D. in 2021. His academic background supports his specialization in trajectory optimization, robot perception, and reinforcement learning.
Research and Publications
During his academic career, Ajinkya Jain served as a Graduate Research Assistant at The University of Texas at Austin from 2016 to 2021. He contributed to research in robotics, resulting in multiple publications at prestigious conferences such as CoRL, RSS, and IROS. Additionally, he has authored open-sourced implementations of his research on GitHub, promoting collaboration and knowledge sharing within the robotics community.
Technical Skills and Development
Ajinkya Jain possesses strong technical skills in software development, particularly using Python, C++, PyTorch, and TensorFlow. His expertise extends to machine learning, deep learning, robot motion planning, and robot controls. He has developed algorithms for learning object interaction models, focusing on robot manipulation tasks under uncertainty.