Welcome...

... to my website. My work focuses on the applications of Machine Learning for Robotics and Chip Design.
I studied Electrical Engineering and Computer Science at UC Berkeley. I'm experienced in bridging layers
across the Hardware/Software stack and developing digital systems that tackle physical problems.

If you're a VC or fellow founder, reach out to me directly for a call about my current ventures in Robotics.
If you're a recruiter, I will be your unicorn willing to trade executive-level ideas for good company food.
If you're in academia, check out my resume or publications below for research I'm passionate about.

What I'm doing

  • AI & Machine Learning

    Bringing the tech on San Francisco billboards to real-world applications.

  • Robotics & Automation

    Robot-aided surgery, cloud robotics platforms, & autonomous navigation.

  • Hardware Acceleration

    System on Chip design, verification, and fabrication on ASICs and FPGAs.

  • App Development

    Full-stack & server-side deployment, building TikTok and personal projects.

Publications

Robo-DM: Data Management For Large Robot Datasets. Chen K, Fu L, Zhang Y, Goldberg K, et. al.
Best paper winner of 2025 ICRA: IEEE International Conference on Robotics and Automation. Available Here.

HANDLOOM 3.0: Interactive Bi-Directional Cable Tracing Amid Clutter. Yu J, Zhang Y, Goldberg K, et. al.
Submitted to 2025 IROS: IEEE/RSJ International Conference on Intelligent Robots and Systems. Available Here.