Experience
Industry experience, education, teaching, and academic service.
Industry Experience
Machine Learning Engineer Intern
EmbodyX · Fall 2025, Spring & Summer 2026
- Built foundation models for robotic systems.
- Optimized VLM inference using token compression.
- Applied model compression for efficient deployment at scale.
Software Engineer Intern, AI ToolChain
Sunlune · Spring and Summer 2025
- Developed and validated kernel, runtime, and driver software frameworks for AI accelerators.
- Integrated kernels and optimized runtime workflows for efficient inference of Llama-family LLMs.
- Performed feature testing, performance tuning, and cross-platform debugging.
Generative AI Model Intern
Sunlune · Summer and Fall 2024
- Developed an AI-enabled design flow for high-performance digital circuit design.
- Designed reinforcement learning models for circuit generation.
- Collaborated with IC design engineers to capture design experience with AI models.
Education
- Ph.D. Candidate, Purdue University, Electrical and Computer Engineering, 2019 - Dec 2026 (expected)
Advisors: Prof. Somali Chaterji, Prof. Saurabh Bagchi - M.S., Tongji University, 2014 - 2017
Advisor: Prof. Meisong Tong - B.E., Tongji University, 2010 - 2014
Advisor: Prof. Meisong Tong
Teaching
- Teaching Assistant, Purdue University, ABE 591: From Chips to Cloud, Machine Learning in IoT and Computer Systems, Spring 2024 and Spring 2025.
Academic Service
- Reviewer, NeurIPS 2026
- Reviewer, KDD 2026 (AI4Sciences Track)
- Journal Reviewer, Neurocomputing
- Journal Reviewer, Journal of Systems Architecture
- Shadow Program Committee, SIGMETRICS 2026
- Artifact Evaluation Committee, EuroSys 2026
- Artifact Evaluation Committee, MobiSys 2025
- Shadow Program Committee, EuroSys 2024
- Artifact Evaluation Committee, SenSys 2024
- Artifact Evaluation Committee, USENIX OSDI 2022 and ATC 2022