Bio
I'm a junior at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), majoring in Data Science and Big Data Technology. My work sits at the intersection of large-model serving, embodied intelligence, and applied machine learning.
Currently I'm doing LLM inference optimization as a capstone project at SF Technology, focusing on throughput and parallelism for large-model serving. Previously I interned on embodied-AI data engineering, building xArm data pipelines and adapting VLA models to the LeRobot framework.
Outside of work I'm a teaching fellow for core CS courses, a 3D-printing assistant at the university library, and the co-founder of a cycling club with 80+ members.
Education
B.Sc., Data Science and Big Data Technology · GPA 3.43 / 4.0
Database Systems, Algorithm Design & Analysis, Stochastic Processes, Optimization, Machine Learning, Statistical Computing.
Experience
Core developer on enterprise LLM serving: making large-model inference faster and more reliable under real production load. Numbers, stack details, and benchmarks are on the resume.
Embodied-AI data internship with Prof. Bo Zhao’s group (SJTU): robotic-arm trajectories, VLA models, and the LeRobot stack—turning demos into repeatable pipelines.
Research assistant on interpretable stroke prognosis from clinical data (prompting + RAG). Related work is under review at ISMRM—see resume for the full story.
Campus & Interests
Data Structures, Databases, + 1 core course; 10+ tutorials, 800+ students. SDS Excellent USTF Award (2024–2025).
3D printing (X1E, Ultimaker S5, Form 2), 30+ jobs; video/image editing (FCP, Photoshop); 3D-printing workshops.
Core team of 20; Songshan Lake & Tour de France meet-ups; 80+ members in the first year, 95% satisfaction.
Skills
Languages
Technical
Interests
Get in Touch
Feel free to reach out for collaboration, research, or just to say hi.