Marcus Pereira
Machine Learning Research Scientist-2 at Bosch Center for Artificial Intelligence (BCAI)
Lubbock, Texas, United States
Summary
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Senior🎓
Top SchoolMarcus Pereira is a Machine Learning Research Scientist at Bosch Center for Artificial Intelligence with nine years of experience bridging rigorous robotics theory and practical deployment. He holds a PhD from Georgia Tech where he developed novel deep FBSDE architectures to solve high-dimensional stochastic optimal control problems, extending them to safety-critical, distributed multi-robot systems and executing the first FBSDE-based controllers on real hardware. Marcus combines strong aerospace and control foundations with applied ML experience from industry internships (including an impactful inventory-placement project at Amazon) and prior engineering roles at Siemens Energy. Based in Lubbock, TX, he is skilled at turning advanced stochastic control theory into scalable, simulation-to-real solutions for long-horizon, safety-constrained robotics applications.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (BTech), Electrical and Electronics Engineering, CGPA: 8.6/10.0, Bachelor of Technology (BTech), Electrical and Electronics Engineering, CGPA: 8.6/10.0 at Veermata Jijabai Technological InstituteDoctor of Philosophy - PhD, Robotics, 3.95/4.0, Doctor of Philosophy - PhD, Robotics, 3.95/4.0 at Georgia Institute of Technology
Github Skills (9)
equation6
dynamical-systems5
machine-learning4
differential-equations4
equinox4
deep-learning3
numerical-integration3
gpu2
jax1
Programming languages (1)
Github contributions (5)
mpereira30/CS6476_code
Sep 2018 - Dec 2018
Contributions:11 commits, 25 pushes, 1 branch in 2 months
mpereira30/FBSDEOptimalControl
Nov 2019 - Jun 2020
Contributions:158 pushes, 3 branches in 6 months
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