I'm Meijin Li, a software engineering and machine learning enthusiast, deeply engrossed in the real-world applications of AI+. I am presently pursuing a Master's degree in Electrical Engineering at Stanford University, specializing in the software system track.

I work at the intersection of machine learning, software, and cloud engineering in recent internship at Alibaba and project at Stanford, all about building AI traning or powered platform. I have a strong passion for real-world applications of AI+. I'm actively seeking software engineer opportunities.

During my undergraduate years, I was fortunate to work under the guidance of Prof. Zhiyang F. on multiple Reinforcement Learning and Computer Systems research projects. Additionally, I had the opportunity to further enhance my skills during my recent internship at Alibaba, with the expert mentorship of Mr. Qingnan Y. Here I was involved in developing an enterprise-level CI/CD/CT Web platform for Large Language Model training, deployment, and testing.

I am excited to leverage my skills and knowledge to drive advancements in this ever-evolving field and contribute to AI+ practical applications.

Honors & Awards

  • Kaggle Gold Medal, Kaggle (2022)
  • Finalist Award in Mathematical Contest in Modeling, COMAP (2022)
  • China National Scholarship, The Chinese Ministry of Education (2022)

Education & Certifications

  • Bachelor, Sichuan University, Software Engineering (2023)