Arjun Guha
Boston, Massachusetts, United States
Summary
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RockstarArjun Viswanathan is a robotics and AI engineer with 13 years of experience focused on combining classical control and learning-based methods for agile legged locomotion, navigation, and human-like behaviors. As Reinforcement Learning Team Lead at Northeastern’s Silicon Synapse Lab, he develops proprioceptive DRL policies for quadrupeds and leads sim-to-real deployment across multiple robot platforms, including snake, biped, and quadruped systems. His work blends terrain-aware imitation learning with constrained control tools like Explicit Reference Governors, Lyapunov analysis, and MPC to ensure stability and real-time performance on hardware. Past projects include a fully autonomous target-tracking robot built with ROS2, EKF-based state estimation, SLAM, and LiDAR-inertial odometry, and production-facing ML pipelines at Travelers. Equally comfortable in simulation (NVIDIA IsaacSim) and field trials, he pairs rigorous research skills with practical systems engineering and a knack for translating advanced algorithms into reliable robotic behaviors.
13 years of coding experience
Github Skills (126)
programming-language10
language-model10
python10
windows10
code-generation10
scientific-computing10
opam10
linux10
package-repository10
audio10
js10
ocaml10
macos10
web-ide10
hpc10
Programming languages (14)
Github contributions (5)
plasma-umass/Fission
Feb 2016 - Dec 2016
Contributions:147 PRs, 326 pushes, 164 branches in 11 months
plasma-umass/Rehearsal
Jun 2016 - Dec 2019
Rehearsal: A Configuration Verification Tool for Puppet
Contributions:1 release, 83 commits, 6 PRs in 3 years 7 months
puppet
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