About me
I am an MS student at Northeastern University's Khoury College of Computer Sciences, interested in machine learning systems, safe AI, and efficient deep learning. I am actively seeking PhD positions for Fall 2026.
Previously, I conducted hardware security research at the University of Florida, developing privacy-preserving frameworks for electronic design automation and side-channel defenses for neural network inference on FPGAs. Before that, I worked in silicon verification at Texas Instruments and Microsoft.
ML Systems & Efficient Deep Learning
Model compression, parameter-efficient fine-tuning, and hardware–software co-design for scalable machine learning workloads.
Safe & Certifiable AI
Robustness under distribution shift, out-of-distribution detection, and formal guarantees for learned systems in autonomous and safety-critical settings.
Hardware Security for AI
Side-channel resilience for neural network inference, privacy-preserving computation, and secure hardware architectures for deployed ML systems.