Parth Khopkar
Machine Learning Engineer at Toyota North America
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolParth Khopkar is a Machine Learning Engineer with nine years of experience specializing in computer vision, multi-agent systems, and edge inference optimization. Based in San Francisco, he has worked on production-facing video analytics at RadiusAI and optimized Micron’s Deep Learning Accelerator—delivering real-time demos, ONNX validation, and research that improved CGRA scheduling via reinforcement learning. His academic work includes a master’s thesis on coordinating multi-drone systems with graph neural networks and zero-shot imitation transfer in simulation, bridging research and deployable systems. Currently at Toyota North America, he focuses on applying ML to real-world automotive challenges, combining model-level innovations like BFP quantization and pruning with practical deployment experience at scale.
9 years of coding experience
4 years of employment as a software developer
Rajiv Gandhi Proudyogiki VishwavidyalayaMaster's degree, Computer Science, Master's degree, Computer Science at Arizona State University
English, Hindi, Marathi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
simulator7
simulation6
machine-learning4
object-detection4
deep-learning3
tensorflow3
multiagent-systems3
react3
game-ai2
multi-agent2
reinforcement-learning2
multi-agent-reinforcement-learning2
robotics2
swarm2
neural-network2
Programming languages (5)
Github contributions (5)
parthkhopkar/drone_swarm
Feb 2021 - Jan 2025
Contributions:1 release, 9 pushes, 1 branch in 3 years 11 months
parthkhopkar/SwarmNet
Jul 2020 - Jan 2023
A Graph Neural Network based model for swarm motion prediction and control
Contributions:2 PRs, 20 pushes, 6 branches in 2 years 7 months
model-basedswarmpredictiondeep-learningmotion
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