Summary
Joseph Zhu is a hands-on founding researcher and roboticist with seven years of experience building full-stack robotics systems—from embedded control and kinematics to 3D perception, manipulation, and foundation-model-driven perception. As co-founder and CTO of Tepan, he architected the end-to-end software for a consumer robot chef that autonomously cooks and self-cleans, and he continues to push applied research in a stealth AI startup based in the Bay Area. His background spans industry-leading teams (Tesla Autopilot, Meta AR) and top research labs (Stanford V&L), with first-author papers including an ICLR spotlight and high HuggingFace recognition. He combines signal-processing chops (differentiable LPC and neural speech codecs) with practical productization of robotics and vision systems, frequently shipping prototypes and demos himself. Equally comfortable writing low-level firmware or training multi-scale GANs, he blends academic rigor with startup execution. Based in San Ramon, CA, he brings a rare mix of entrepreneurial grit, multidisciplinary technical depth, and a track record of turning novel research into working hardware.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at University of Illinois Urbana-Champaign
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University