I am a Research Engineer in the Google DeepMind working on Gemini Robotics models to make them fast adaptable to unseen tasks and unseen embodiments. Before Google DeepMind, I worked on Google Search Ranking algorithms for 4 years.
Selected Work at Google
Few-Shot Adaptation Finetuning — Gemini Robotics
Few shot adaptation finetuning experiments (Fig. 26) in the Gemini Robotics Technical Report.
Gemini Robotics On-Device
Built the finetuning service and SDK for Gemini Robotics On-Device for Trusted Testers (GitHub SDK). Demo videos below (edited by me):
Topic-Authority Ranking — Google Search
Developed the Topic-Authority-based ranking algorithm for Google Search.
Open-Source Tools
I love building tools. Whenever I find there are no tools that fit my use case nicely, I start building my own.
A MLOps Web App for Embodied AI evaluation. I use it heavily for my offline reinforcement learning workflows, and I host it on the cloud for others to use as well.
Web App
A Type-1 Diabetes Simulator with OpenAI Gym interface — the most popular open-source type-1 diabetes simulator. [Google Scholar]
Python
A multi-variate time series prediction library. Similar to Matlab's System Identification Toolbox, but connects with
Python
sklearn, pytorch, and more.