Chaitanya Mitash
Applied Scientist at Amazon Robotics
North Reading, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolChaitanya Mitash is an applied scientist with a decade of experience at the intersection of robotics, perception, and machine learning, currently developing foundation models for Amazon Robotics. He holds a PhD track in computer science from Rutgers and has led research projects on robust manipulation, adaptive hands, and task-driven perception funded by NSF and industry partners like JD.com. His background spans embedded and systems engineering at companies such as Samsung and Tejas Networks, giving him practical depth in real-time systems and protocol-level debugging alongside advanced ML research. Equally comfortable in academia and industry, he bridges theory and production, turning stochastic physical models into deployable robotic solutions. Based in North Reading, MA, he brings a blend of systems-level rigor and hands-on experimentation that accelerates robot learning for complex manipulation tasks.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Rutgers University-New BrunswickBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Birla Institute of Technology, Mesra
Github Skills (11)
synthetic-data8
object-detection6
3d6
cad5
pose-estimation5
adversarial-learning5
generative-adversarial-network4
semantic-segmentation3
deep-learning2
computer-vision2
pytorch2
Programming languages (2)
Github contributions (5)
cmitash/PHYSIM_6DPose
Jan 2017 - Sep 2017
Contributions:11 commits, 29 pushes, 1 comment in 7 months
cmitash/model_matching
Feb 2019 - Jun 2020
Robust 6D Object Pose Estimation with Stochastic Congruent Sets
Contributions:9 commits, 5 pushes, 1 comment in 1 year 3 months
pose-estimation
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