Hello, I’m Zhengxu! 👋

I’m a Computer Science M.S. student at Stanford University and a recent graduate of UC Berkeley, where I earned my B.A. in Computer Science and Data Science with High Distinction. My academic journey has been driven by a deep fascination with the intersection of rigorous systems research and real-world applications, particularly in verifiable code generation, diffusion transformers, and AI for healthcare operations.

Academic Interests 🎓

My primary focus lies in Machine Learning and its applications. I’m particularly interested in:

  • Large Language Models and their applications
  • Computer Vision and Image Processing
  • Deep Reinforcement Learning
  • Systems Programming

Across Stanford and Berkeley, I’ve had the opportunity to work on a range of impactful projects—from benchmarking project-scale code agents and serving diffusion transformers, to implementing reinforcement learning solutions for healthcare facilities.

Professional Journey 💻

I’ve been fortunate to work on diverse projects that combine my technical skills with real-world applications. My experience spans:

  • Teaching and course operations for Berkeley’s Large Language Model Agents curriculum
  • Research assistance at UC Berkeley’s Sky Computing Lab
  • Machine Learning engineering at UC Berkeley’s School of Public Health
  • Research in healthcare technology at the University of Nebraska
  • Backend development leadership in startup environments

Beyond the Code 🎮

When I’m not coding or working on projects, you can find me:

  • Playing soccer with friends
  • Competing in League of Legends (always striving to improve my gameplay!)
  • Enjoying a game of badminton
  • Staying updated with the latest tech developments and research papers

Let’s Connect!

I’m always excited to connect with fellow tech enthusiasts, researchers, and potential collaborators. Feel free to reach out if you’d like to discuss technology, research opportunities, or just share thoughts about the latest developments in CS and ML!

“The best way to predict the future is to invent it.” - Alan Kay