Career Profile
I am a fourth-year Ph.D. student in the Computer Science and Engineering department at UC San Diego, advised by Professor Tajana Rosing in the System Energy Efficiency (SEE) Lab. My research focuses on computer architecture and systems for machine and deep learning. Currently, I work on accelerating point-cloud processing and federated learning using hyperdimensional computing (HDC). Previously, I explored HDC-based learning on processing-in-memory (PIM) architectures. I completed two internships at NVIDIA, in the summers of 2024 and 2025, where I worked under the management of Dharmesh Jani and was mentored by Naga Challapalle. In 2025, my work focused on architecture exploration for large language model (LLM) inference workloads, and in 2024 I focused on chip balance exploration using multi-GPU GEMMs as proxies for various applications. In the summer of 2023, I interned at Samsung Semiconductor US in San Diego, where I evaluated open-source projects related to federated learning and on-device training for mobile devices under the supervision of Mostafa El-Khamy. Before starting my Ph.D., I spent more than three years at Chips&Media, Inc. as a deep learning algorithm engineer, developing algorithms for super-resolution hardware IPs. I also gained research experience at the Computer Architecture and Parallel Processing (CAPP) Lab at Seoul National University under Professor Hyuk-Jae Lee, where I developed optimized deep learning algorithms for multi-camera environments.