Mihir Garimella

Hi, I'm Mihir! I recently graduated from Stanford and I'm now building something new in NYC. (If you want to get in touch with me, my email address is mihir@garimella.io.)

I'm excited about ML systems and I'm passionate about building things that can make an impact at scale. At Stanford, I wrote my thesis on ML infrastructure and worked at Helia, a small startup using deep learning to analyze video data that was recently acquired by Scale AI.

In the past, I've been interested in 3D computer vision — read a blog post I wrote about it. I spent a summer at Waymo (formerly the Google self-driving car project), helping develop the deep learning networks that detect other vehicles, pedestrians, bicyclists, and motorcyclists from laser data, and worked on building autonomous drones for photorealistic indoor mapping, industrial inspection, and search and rescue (featured on CNN). This work was inspired by my past robotics research, for which I was incredibly fortunate to have received a $50,000 prize in the Google Science Fair. I've also spent a summer at Facebook, building hardware and software to help bring the Internet to the 4 billion people around the world who still don't have access. In high school, I worked on drone imagery software at Identified Technologies, embedded computer vision and SLAM at Near Earth Autonomy, and robotics and machine learning research at Carnegie Mellon and MIT.

Some of my other projects include Surge (a system for creating one-click enterprise knowledgebases from Slack, Google Docs, and email), Making AR "Lit" Again (an app that uses computer vision to recreate environmental lighting in augmented reality), Text-A-Sketch (a device that can receive pictures over SMS and draw them on an Etch-A-Sketch), StructureKit (crowdsourced indoor mapping with just an IMU), Autocross (a kit to make any RC car self-driving), HeadsUp (a $50 device to diagnose concussions on the sidelines with a quick eye test), ScentIt (a device to embed smells within movie clips), TMAScan (a set of image processing algorithms to help doctors diagnose brain tumors), Robo-Mozart (a robotic violin tuner), and Classroom (a mobile student planner app that has been used by over 30,000 students).

Several of my smaller projects are open-source, and the code is available on Github. I'm most proud of Series (an app that can solve calculus series problems using handwriting recognition and the WolframAlpha API) and CiteIt (a tool to create accurate bibliographies).

I'm also passionate about computer science education. I co-directed TreeHacks, Stanford's largest annual hackathon, in 2019, and have been a TA for Stanford's introductory CS classes, CS106A and CS106B, and embedded systems class, CS107E. Back in high school, I founded and organized FCHacks, Pittsburgh's first high school hackathon.