Resume
Academic Achievements
- Publications:
- - CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization (NeurIPS 2025)
- - Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective (MICRO 2025)
- - Integrated Hardware Architecture and Device Placement Search (ICML 2024)
- - FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout (NeurIPS 2023)
- - Evaluation of gem5 for Performance Modeling of ARM Cortex-R Based Embedded SoCs (Microprocessors and Microsystems, 2022)
- Awards:
- - Georgia Tech CRNCH Fellowship (Fall 2025)
- - NSERC Canada Graduate Scholarship – Doctoral (CGS D) (Sept 2024)
- - MLCommons ML and Systems Rising Stars 2025 Cohort (Mar 2025)
Research Experience
- Involved in multiple research projects including CATransformers, Integrated Hardware Architecture and Device Placement Search, etc.
Education
- Received a bachelor’s degree in Computer Engineering from the University of British Columbia, advised by Prof. Prashant Nair; currently a third-year Ph.D. student at Georgia Tech, advised by Prof. Divya Mahajan.
Background
- Research interests lie in Systems for Machine Learning and Computer Architecture, with a focus on optimizing distributed deep learning infrastructure.
Miscellany
- Personal interests include traveling, exploring local restaurants, learning foreign languages, and keeping up with the latest happenings in football.