Hi i'm Palash Shah! I'm currently taking a break from school to build Paraglide. I recently won the Pioneer Tournament and will be participating in their accelerator soon.
I recently authored Libra: a machine learning API that lets you build and train models in just one-line of code. We currently have over 17,000 users, and is being used by universities around the globe in their introductory machine learning classes.
On the side, I'm doing research with Dr. Menon from Carnegie Mellon University. We're working on medical disease analysis using image encodings, and plan to release a library called maple in the near future.
This summer, I worked at Leidos as a part of the GeoAxis group. I helped with the design of a new access-portal used by government customers. Before that, I led a team of researchers at Fondazione Bruno Kesseler in Trentino Italy to help with brain tumor identification and segmentation.
I'm excited about reinforcement learning as well as scalable distributed systems. Please reach out to me if you're interested in chatting about Google's Duality framework or Actor Critics.
I'm also interested in computer science education. I've served as a Teaching Assistant for UVA's CS 2102 (Discrete Mathematics) and now for CS 4774 (Machine Learning).
September 2020: My first article titled What I learned as a college student running a large open-source project was published in Towards Data Science.
September 2020: Abstract for my paper "Classification of Lung Disease using CT Image Encodings Computed from a Novel 3D Segmentation U-Net" was accepted and presented to the 2020 Carnegie Mellon Biomedical Engineering Forum.
August 2020: Spoke about Libra at Your Data Talks Meetup, Cloud Computing Meetup, and Hyphora . Served on emerging technologies panel for the Gen Z Leaders Conference.
July 2020: Began working with Dr. Menon from CMU. You can find updates on our research at occlude.ai.
July 2020: Global release of Libra. Featured in Towards Data Science, YouTube, and many other mediums. #1 trending project on Made With ML
Jun 2020: Began Software Engineering Intern position at Leidos.