Grad Coursework
GPA: 4.11/4.0
Theory
10-725: Convex Optimization
10-708: Probabilistic Graphical Models
(A+)
36-700: Probability and Mathematical Statistics
Systems
15-418: Parallel Programming & Computer Architecture
(A+)
15-440: Distributed Systems
11-868: Large Language Model Systems
(A+)
15-442: Machine Learning Systems
15-513: Introduction to Computer Systems
ML
10-701: Introduction to Machine Learning
10-718: ML in Practice
(Audit)