Samuel Triest
Graduate Student
Redwood City, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSamuel Triest is a graduate student at Carnegie Mellon’s Robotics Institute with nine years of engineering and research experience focused on learning-based methods for autonomous off-road vehicle traversal. Based in Redwood City, he contributes to the AirLab on reinforcement learning and perception-driven control for rough terrain, building on prior work in ramp merging and highway autonomy. His background blends strong academic foundations—a 3.99 BS in Computer Science and a concurrent Business degree—with hands-on internships in product and engineering where he prototyped constraint-based schedulers and large-scale data POCs. Samuel also has teaching experience in algorithms, AI, and computer architecture, reflecting both deep technical literacy and an ability to communicate complex ideas. Notably, his cross-disciplinary work at Rochester on co-optimizing optics, architecture, and vision hints at an interest in systems-level design that bridges hardware and learning-based software.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.99/4.00, Bachelor of Science - BS, Computer Science, 3.99/4.00 at University of RochesterMaster's degree, Robotics, Master's degree, Robotics at Carnegie Mellon University
Github Skills (18)
kalman-filter10
robotics9
physics9
computer-graphics9
janky9
optimization9
autonomous-robots9
slam9
planning9
ros8
python8
pose-estimation8
pytorch7
deep-learning7
datasets6
Programming languages (2)
Github contributions (5)
castacks/tartan_drive
Sep 2021 - Jul 2022
Contributions:19 commits, 7 pushes, 2 comments in 9 months
striest/rosbag_to_dataset
May 2021 - Jun 2022
A (likely janky) library that converts rosbags into datasets for MBRL
Contributions:16 commits, 2 PRs, 16 pushes in 1 year 1 month
datasetsmbrljanky
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