About Me
Scored 502 in the college entrance exam. Undergraduate GPA: 2.9/4, ranked 45/50. Graduate entrance exam: 263 in 2020 and 400 in 2021 (8th/120), with Mathematics II scoring 141 (1st/120). Graduate GPA: 3.5/4, top 30%.
During my graduate studies, I focused on research at the intersection of AI and lithium-ion batteries (LiBs). As the first author, I published two papers in Energy and Applied Energy, both ranked Q1 in CAS and JCR. Those three years trained me to independently conduct interdisciplinary research.
After completing my master's degree, I have continued to build hands-on experience in AI systems engineering and open-source collaboration. I am passionate about using AI to build everything from inference systems to embodied robots, and my current interests include embodied AI, robotics, inference acceleration, AI infrastructure, and C++.
Collaboration Opportunities
Open to collaboration across AI infrastructure, embodied AI, systems engineering, and web engineering.
AI Infrastructure & Inference Systems
Inference system optimization around vLLM and vLLM-Kunlun, custom C++/CUDA operators, heterogeneous hardware adaptation, and performance tuning.
Embodied AI & Robotics
Robotics simulation, embodied AI task prototyping, multimodal agents, and engineering collaboration from simulation to working systems.
Systems Engineering & Developer Tooling
Engineering work in Python, Go, and TypeScript, including automation workflows, developer tooling, and open-source collaboration.
Web Engineering & Full-Stack Development
Vue frontend work, Java or Python backend development, and end-to-end delivery of admin and business systems.
Feel free to reach out at
765984881@qq.com