Summary
Hotsuyuki Kawanishi is a software engineer specializing in perception for self-driving cars, currently building safety-critical perception systems at Waymo after interning there in 2025. With nine years of experience across industry and academia, he has shipped C++ and Python production features from lidar-based speed bump detection to motion planning improvements that cut driver interventions by 30%. He also rapidly transitioned into large-scale LLM engineering, building a distributed training pipeline that trained a 10B GPT-style model on 160 H100 GPUs and teaching a widely attended pre-training lecture. Comfortable bridging research and production, he pairs probabilistic methods and sensor fusion with ML frameworks like TensorFlow, JAX, PyTorch and DeepSpeed to drive measurable gains in perception metrics and validation workflows. Based in Mountain View, he brings a mix of hands-on debugging on large codebases, cross-team collaboration, and mentorship that has turned prototypes into deployed vehicle capabilities.
9 years of coding experience
1 year of employment as a software developer
Associate of Engineering - A.Eng. Computer Science, Associate of Engineering - A.Eng. Computer Science at Numazu National College of Technology
Master of Engineering - M.Eng. Robotics, Master of Engineering - M.Eng. Robotics at Kanazawa University
Bachelor of Engineering - B.Eng. Mechanical Engineering, Bachelor of Engineering - B.Eng. Mechanical Engineering at 千葉大学 Chiba University
Master of Science - M.S. Software Engineering, Master of Science - M.S. Software Engineering at University of Miami
English, Japanese