UC Berkeley coursework. GPA: 4.0.
| Course | Title | Grade |
|---|---|---|
| EECS 16A | Information Devices and Systems I | A |
| CS 61A | Structure and Interpretation of Computer Programs | A |
| CS 61B | Data Structures | A |
| CS 70 | Discrete Mathematics and Probability | A+ |
| EECS 126 | Probability and Random Processes | A |
| EECS 127/227A | Optimization Models in Engineering | A |
| CS 61C | Computer Architecture | A+ |
| EE 120 | Signals and Systems | A |
| MATH 110 | Abstract Linear Algebra | A |
| EECS 16B | Information Devices and Systems II | A+ |
| CS 182/282A | Deep Learning | A+ |
| CS 185/285 | Reinforcement Learning | A |
| EE 227BT | Convex Optimization | A |
| EE 194/294 16 | Scalable AI | A+ |
| CS 189/289A | Machine Learning | A |