Rishi Parikh
Software Engineer at Waymo
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolRishi Parikh is a software engineer with 10 years of experience focused on building scalable machine learning systems and infrastructure. He holds a Master's in EECS from UC Berkeley and has moved between research and production roles—from BAIR research on simulation, computer vision, and robotics to platform engineering at Nextdoor and Applied Intuition, and now Waymo. His research at Berkeley produced ICRA-recognized work on multi-object grasping and curriculum learning, reflecting a strong grounding in both theory and experimental systems. At Nextdoor he helped ship core ML training and inference platforms, and at Applied Intuition he worked on engineering for autonomy—skills that uniquely position him at the intersection of ML research and production-grade systems. Based in San Jose, he combines classroom teaching experience in AI and algorithms with hands-on leadership from running large student robotics teams. Colleagues would note his ability to translate complex robotics and vision research into reliable, scalable engineering solutions.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, BerkeleyEvergreen Valley High School
Github Skills (8)
open-access10
stable-baselines10
water10
simulator10
reinforcement-learning9
simulation9
sun9
deep-reinforcement-learning9
Programming languages (1)
Github contributions (5)
Rishiparikh/rishiparikh.github.io
May 2021 - Jul 2024
Contributions:28 pushes, 1 branch in 3 years 2 months
Rishiparikh/Tracking-and-Inventory-Management
Apr 2018 - May 2018
Contributions:41 pushes, 1 branch in 17 days
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