Raayan Dhar
I am an undergraduate studying Computer Science with a concentration in Electrical Engineering at the University of California, Los Angeles.
Currently, I do research on robotics. This fall, I will be working on the IERE compiler at AMD as a compiler engineer intern. Before that, I will be spending the summer working at NVIDIA as a deep learning inference intern on TensorRT-LLM.
Over summer 2024 I was a software development intern at Amazon on their low-latency risk evaluation service. Far before that, my interest in computer science stemmed from a summer working on Monte-Carlo simulations at the Paegal Lab.
Interests
I am most interested in deep learning systems for the real world, across the entire stack (theory to architecture to low-level optimization). These days, I work on robot learning, namely imitation learning.
Currently, I am advised by and work with Yuchen Cui on robot learning at URIL. Previously, I worked with Yihan Wang on LLM safety.UCLA
At UCLA, I'm a board member and run fellowships for AI Safety at UCLA. For the 2025 spring quarter, I am also a learning assistant for CS188: Introduction to Robotics.
Academically, most of my coursework thus far has been in the electrical engineering and computer science departments. Some personal favorites include:
- ECE133A: Applied Numerical Computing (F23, site)
- PHIL31: Logic, First Course (W24)
- ECE231E: Channel Coding Theory* (S24)
- CS180: Introduction to Algorithms and Complexity (F24)
- ECE236B: Convex Optimization* (W25, site)
Writing
Coming soon, stay tuned :)
Contact
You can reach me at (first+last, all lowercase) [at] g [dot] ucla [dot] edu. Check out my projects on my Github and see what I'm up to on Twitter.
Credit
Credit for the inspiration and design of this website goes to Brandon Wang who himself was inspired by Ankur Moitra's website. The picture above the navigation bar is a detail of a tile mosaic at La Alhambra, located in Granada, Spain. The other images are due to M.C. Escher.