Jacob Pettit
Machine Learning Researcher at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolJacob Pettit is a machine learning researcher with nine years of experience applying ML to real-world challenges at Lawrence Livermore National Laboratory, where he focuses on practical, high-impact research spanning autonomous systems and ML-enabled drug design. Grounded in a BS in Computational Science from Florida State University and honed through research roles and internships, he blends theoretical rigor with hands-on engineering to move models from concept toward deployment. Known for "making machines learn" at LLNL, he brings domain awareness of national-lab scale problems and sensitivity to safety and robustness in critical systems. Colleagues describe him as driven by a mission to better the world through ML and skilled at translating interdisciplinary problems into tractable computational solutions.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computational Science, Bachelor of Science - BS, Computational Science at Florida State University
Github Skills (20)
simulation10
simulator10
kinematics9
reinforcement-learning9
bullet-physics9
robotics9
algorithms9
collision-detection9
visual-effects9
pybullet9
game-development8
virtual-reality8
machine-learning7
machine-learning-algorithms7
deep-reinforcement-learning7
Programming languages (3)
Github contributions (5)
jfpettit/flare
Mar 2019 - Mar 2022
Modular Reinforcement Learning in PyTorch.
Contributions:80 commits, 6 PRs, 122 pushes in 3 years
pytorchreinforcement-learninga2cdeep-learningdeep-reinforcement-learning
jfpettit/rl_bolts
Aug 2020 - Aug 2020
Contributions:14 commits, 10 pushes in 7 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.