| Code | Course Title | Credits | Grade | Points |
|---|---|---|---|---|
| Fall Term · 2024 — 2025 | ||||
| CS 601 |
Algorithms & Computational Complexity
Prof. Hiroshi Tanaka
|
4.0 | A | 16.00 |
| CS 614 |
Statistical Foundations of Machine Learning
Dr. Priya Ramaswamy
|
4.0 | A | 16.00 |
| Spring Term · 2024 — 2025 | ||||
| CS 627 |
Distributed Systems Architecture
Prof. Marcus Weill
|
4.0 | A | 16.00 |
| CS 639 |
Deep Neural Networks & Representation Learning
Dr. Priya Ramaswamy
|
4.0 | A− | 14.80 |
| Fall Term · 2025 — 2026 | ||||
| CS 702 |
Advanced Compiler Construction
Prof. Isolde Brenner
|
3.0 | A | 12.00 |
| CS 718 |
Reinforcement Learning & Sequential Decision
Dr. Soraya Fields
|
4.0 | A | 16.00 |
| Spring Term · 2025 — 2026 | ||||
| CS 741 |
Applied Cryptographic Protocols
Prof. Daniel Okafor
|
3.0 | A− | 11.10 |
| CS 799 |
Master's Thesis — “Sparse Attention for Edge Inference on Heterogeneous Clusters”
Advisor: Dr. Priya Ramaswamy · Passed with Distinction
|
6.0 | A | 24.00 |