Monimoy Bujarbaruah
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMonimoy Bujarbaruah is an Applied Scientist at Amazon with a decade of experience bridging control theory, optimization, and machine learning to build production-grade algorithms for allocation, ranking, and monetization on the Search page. He holds a PhD from UC Berkeley’s MPC Lab where he developed provably safe, data-efficient model predictive controllers using robust convex optimization and randomized methods. His background spans robotics and vehicle safety simulation at Cruise, multi-agent planning in Munich, and hands-on control experiments in academic labs, reflecting deep practical expertise in safety-critical systems. Based in Seattle, he combines rigorous theoretical foundations with product-first implementation skills, translating advanced control ideas into scalable systems that operate under uncertainty. An uncommonly consistent thread across his work is translating provable guarantees from research into algorithms that meet real-world performance and safety constraints.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Control Systems Engineering, Doctor of Philosophy (PhD) Control Systems Engineering at University of California, BerkeleyIndian Institute of Technology Bombay
English, Hindi, Assamese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
genesis10
model-predictive-control9
mpc9
simulation1
simulate1
planets1
Programming languages (1)
Github contributions (5)
monimoyb/pd_polLearn
Jun 2019 - Apr 2021
Contributions:19 commits, 18 pushes, 1 branch in 1 year 9 months
monimoyb/RMPC_SimpleTube
Mar 2021 - Mar 2022
Contributions:32 commits, 29 pushes in 1 year
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