Xianning, Hubei; based in Shenzhen, Guangdong

Lidang Jiang

  • MLsys
  • Embodied Intelligence
  • AI
  • Robotics
  • Embedded Software Engineer
  • Hardware Engineer
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Lidang Jiang

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, embedded software, and hardware engineering.

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