Hi! 👋 I am a second year student and engineer studying CS and Math at Stanford.
I enjoy building things and making products that users love. This page is more of an extended "about" page.
Feel free to reach out at sidshr 'at' stanford.edu. 😀
My coursework spans the gamut from nuclear physics with Prof. Robert Laughlin to complexity theory with Prof. Paul Milgrom, both being Nobel Prize winners in their respective fields. In high school, I was lucky enough to work with Professor Emeritus Bernard Widrow (Stanford EE), Dr. Daniel Rubin (Stanford Biomedical Data Science). I've also led a team to author a 280 page textbook on AI and Machine Learning. To enable more ML education opportunities, I founded StartOnAI, an educational platform which provides introductory content for topics in machine learning. During summer 2022, I led the engineering and deployment of a new transformer model for NER at Abacus.AI, a series C startup working on ML platforms and deep learning at scale.
I help teach CS 106A and CS 106B, Stanford's largest introductory CS courses as part of the CS 198 program at Stanford.
On campus, I'm a reading group co-director for Stanford ACM and startup development co-director at Stanford BASES. I'm also also fortunate to serve as Class President for Stanford's class of 2025.
I've taken classes in areas like Simplicity and Complexity Theory, Computer Vision with Deep Learning, Large Language Models, Computer Systems, OS, etc. Cryptography, RL, and security are next on the list. 👀
Here's an article I recently penned following Federer's retirement. One of my favorite questions is if you could have dinner with any 6 people in the world who would it be?. My answer to that question would be Roger Federer, Michael Schumacher, Peter Thiel, Barack Obama, Michael Moritz, and Jamie Dimon. Some of my favorite movies: Dead Poets Society, The Dark Knight Trilogy, Inception, Midnight in Paris, the Social Network, and Life is Beautiful. I really enjoy listening to bits and pieces of wisdom from Stanford's GSB View from the Top series. Some good books: Genius Makers (Metz), Outliers (Gladwell), Zero to One (Thiel), The Inevitable (Kelly), The Beginning of Infinity (Deutsch), The Inner Game of Tennis (Gallwey).