Resume
Academic Achievements
- "Efficient Sparsity Management for LLMs" (under review)
- "Proto: A Guided Journey through Modern OS Construction" (SOSP’25, equal contribution)
- "RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devices" (arXiv)
- "AnA: An Attentive Autonomous Driving System" (ASPLOS’25)
- "Efficient NLP Inference at the Edge via Elastic Pipelining" (ASPLOS’23)
- "Rethinking Remote Memory Placement on Large-Memory Systems with Path Diversity" (ApSys’21, equal contribution)
- "Exploring the Design Space of Page Management for Multi-Tiered Memory Systems" (ATC’21)
- "A Study of Memory Placement on Hardware-Assisted Tiered Memory Systems" (CAL’20, equal contribution)
Background
- Ph.D. student at the University of Virginia, advised by Prof. Felix Xiaozhu Lin
- Research lies at the intersection of Systems and Machine Learning
- Focuses on efficient inference frameworks that minimize latency and memory consumption
- Previously worked on low-level optimizations in the Linux kernel
- Seeking Research or Engineering Internship in Systems & ML for Spring/Summer 2026