Coursework

• CS 288 (Graduate NLP)*
• CS 280 (Graduate Computer Vision)*
• CS 285 (Reinforcement Learning)*
• EE 194 (Scalable AI)^
• CS 189 (Machine Learning)
• CS 182 (Deep Learning)^
• EECS 183 (Natural Language Processing)
• CS 180 (Computer Vision and Computational Photography)
• CS 294-258 (Computational Models of Language Use)*
• EECS 106A (Introduction to Robotics)*
• EECS 127 (Convex Optimization)
• EECS 126 (Probabillity and Random Processes)
• CDSS 94 (Full-Stack Post-Training)*
• Math 104 (Real Analysis)^
• CS 194-196 (Large Language Model Agents)
• CS 188 (Artificial Intelligence)
• Math 110 (Abstract Linear Algebra)
• CS 61A (Computer Programming)
• CS 61B (Data Structures)
• CS 61C (Computer Architecture)*

* denotes current enrollment

^ self-studied (followed lectures and assignments without receiving a letter grade)