I am an undergrad studying CS and Math at Stanford. 🌲
I'm currently building search and middle-layer applications
that bridge large language models with knowledge bases. I also like exploring frontier ML primitives like the transformer architecture, long-sequence modeling, meta-learning, reinforcement learning. In my free time, I also like to think about simulation theory, consciousness, AGI, governance, and globalization. This summer, I'll be working on ML Systems at AWS in Bellevue.
I like to approach problems that make sense of complex adaptive systems. I also like to design interactive software with precision and intent to maximize the knowledge that computing systems can provide. In the past, I've worked on semantic search, knowledge assistants, computer vision for healthcare, and quantum ML. During high school, I was fortunate to work on researching biological neural networks and clinical object detection with Professor Emeritus Bernard Widrow and Dr. Daniel Rubin respectively. I grew up in the San Francisco Bay Area.
If you want to get in touch, email me at sidshr@stanford.edu.
I've worked on formal research projects focused on adaptive biological learning (Hebbian-LMS), seizure patient tracking for patients, and compressing and pruning GPT-2. Here's a selection of some of my projects:
A collection of interesting things.