Arjun Viswanathan
Silicon Synapse Lab - Reinforcement Learning Team Lead at Northeastern University College of Engineering
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolArjun Viswanathan is a robotics and AI researcher-engineer with 12 years of experience focused on blending classical control and learning-based methods for legged locomotion, navigation, and human-like behaviors. As RL team lead at Northeastern's Silicon Synapse Lab he develops terrain-aware deep reinforcement learning policies for multimodal quadruped locomotion and bridges sim-to-real gaps for real-time hardware. His Boston Dynamics internship produced perceptive policies that traverse terrain classical controllers avoid while rejecting disturbances and recovering from slips, and he augments DRL with Explicit Reference Governors, Lyapunov analysis, and MPC for constrained stability. Previous industry work in imagery segmentation, RAG-backed LLMs and graph neural networks gave him production ML and data-engineering chops—he even learned SQL in a month—while teaching AI/ML workshops has honed his ability to communicate complex ideas. Based in Boston, he combines a hacker’s pragmatism with academic rigor to push robots from simulation into the real world.
12 years of coding experience
1 year of employment as a software developer
Northeastern University
Github Skills (164)
benchmark10
python10
windows10
code-generation10
refactoring10
scientific-computing10
opam10
gcloud10
linux10
package-repository10
nlp10
edges10
benchmarking10
ocaml10
natural-language-processing10
Programming languages (13)
Github contributions (5)
plasma-umass/Fission
Feb 2016 - Dec 2016
Contributions:147 PRs, 326 pushes, 164 branches in 11 months
arjunguha/ocaml-z3
Jul 2016 - Feb 2019
Contributions:7 commits, 1 PR, 4 pushes in 2 years 7 months
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