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Resume (English only)
Academic Achievements
1. 'SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning', NeurIPS 2025, San Diego, CA
2. 'METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation', ACM SOSP 2025, Seoul, Korea
Research Experience
1. Interned at Google on systems for efficient LLM inference
2. Interned at AWS on systems for efficient LLM inference
3. Interned at MPI-INF on networked systems for ML training
Education
1. Princeton University, Ph.D. in Computer Science, Advisor: Prof. Ravi Netravali
2. University of Wisconsin-Madison, B.S. in Computer Science and Math, Advisor: Prof. Shivaram Venkataraman
Background
4th-year CS Ph.D. student at Princeton University, advised by Prof. Ravi Netravali. Member of the Princeton Systems for AI Lab (SAIL). Broadly interested in the intersection of systems, networks, and machine learning, with a recent focus on systems for efficient ML/LLM inference.