Nishad Gothoskar is a Co-Founder and AI researcher with 11 years of experience building robotics, probabilistic inference, and IoT systems across industry and academia. He earned a BS in CS & Math from Carnegie Mellon and is completing a PhD in EECS at MIT after publishing work on 3D probabilistic inverse graphics in top venues like NeurIPS and ICCV. His career spans research and engineering roles at Vicarious AI, MIT CSAIL, Uber ATG, and Google, where he worked on probabilistic graphical models, task-and-motion planning for PR2, self-driving motion prediction, and Bluetooth-based IoT. An active contributor to the Physical Web Android project, he has hands-on mobile experience integrating permissions, share UX, and RSSI handling for a widely noted Google repo. He combines deep theoretical grounding with product-minded engineering, frequently translating research prototypes into robust, deployable systems. Based in Cambridge, MA, he brings both entrepreneurial drive and a track record of high-impact publications and shipping complex robotics and AI software.
11 years of coding experience
3 years of employment as a software developer
PhD, EECS, PhD, EECS at Massachusetts Institute of Technology
Bachelor of Science, CS and Math, Bachelor of Science, CS and Math at Carnegie Mellon University
Contributions:1 release, 54 commits, 74 PRs in 2 months
Contributions summary:Nishad primarily focused on developing the Android application for the Physical Web project. Their contributions include implementing the functionality to share URLs through the native Android share menu, addressing issues related to location permissions, and ensuring proper handling of Bluetooth permissions. Additionally, the user worked on improving the user interface and fixing crashes, particularly concerning the ListView adapter and the RSSI data retrieval process. They also added the feature to favorite results.
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Contributions:2 PRs, 11 pushes, 1 branch in 3 years
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Nishad Gothoskar - Co-Founder at Stealth AI Startup