About

I'm a CS master’s student and EE undergrad at Stanford University. My background includes working with deep learning models (CNNs and Vision Transformers) and multi-agent learning algorithms as well as computer systems, graphics, and networks. Most recently, I was a Sensors and Simulation Intern within the Autonomy Systems Engineering Team at Motional, where I worked on projects at the intersection of Machine Learning, LiDAR, and DevOps for self-driving cars (or more formally, Autonomous Vehicles). On the side, I like to build VR graphic pipelines and assets using OpenGL, JavaScript, and Blender (I frequently mint some of them to OpenSea!) and build my own deep neural networks using PyTorch and Scikit-learn.