Evan Gao is an Electrical and Computer Engineering student at UT Austin with a strong focus on robotics, chip design, and systems integration, graduating in May 2026. He has practical experience developing humanoid robot motion using 3D Diffusion Policy at RobotEra and integrating trained datasets with hardware to achieve low-error actions. Intern roles in FPGA engineering and ML at InfinigenceAI and Abogen showcase his ability to design high-performance hardware modules (reshape engines, unified memory with multi-master arbitration) and build secure, local RAG systems for private document querying. Proficient in ROS, PyTorch, Git, and wandb, he pairs hands-on FPGA/IC design with end-to-end machine learning engineering. Beyond technical chops, he brings mentorship and systems-level thinking from FRC and VEXIQ coaching, making him effective at bridging research, implementation, and team communication.
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