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 — particularly in autonomous and safety-critical settings.
Multimodal AI & Autonomous Agents
Large multimodal models, multi-agent systems, and their application to real-world problems in video understanding, human-AI interaction, and autonomous decision-making.
Garbled EDA: Privacy-Preserving Electronic Design Automation
ICCAD 2022
Designed a framework to run chip design tools securely without revealing proprietary IP, using cryptographic multiparty computation.
Active IC Metering Protocol Security with Oblivious Transfer
SRC TECHCON 2022
Built and hardened protocols that prevent unauthorized cloning of chips, using oblivious transfer cryptography.
HWGN2: Side-Channel Protected Neural Networks
SPACE 2022
Developed a hardware framework that lets neural networks run securely on FPGAs without leaking information through power/timing channels.
Northeastern University — Khoury College of Computer Sciences
M.S. Computer Science · 2026 – Present
University of Florida
M.S. Electrical & Computer Engineering · 2021 – 2023
Mahindra Ecole Centrale, Hyderabad
B.Tech Electrical & Electronics Engineering · 2016 – 2020