Jun Jiang

Visiting Researcher at The University of Tokyo

Sunnyvale, California, United States
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Summary

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Rockstar
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Top School
Jun Jiang is a software engineer and researcher with 11 years of experience specializing in robotics, sensor data analysis, image processing, and AI-driven mapping workflows. Based in Sunnyvale, he has driven generative AI and multi-agent systems at Woven by Toyota, built vehicle map data pipelines, and designed ISP algorithms for DJI camera chips. Currently a Visiting Researcher at The University of Tokyo, Jun explores evolutionary Spiking Neural Network controllers and develops agentic AI coding workflows that bridge physical simulation and architectural search. He combines academic rigor from a Master’s in Precision Engineering with hands-on product impact across automotive and robotics platforms. Outside work he’s an avid reader of biographies and brings curiosity about human behavior into human-centered system design—plus he can run 10km weekly and cook a mean grilled cold noodle. An early focus on human motion pattern recognition reveals his long-standing interest in making machines understand people, not just data.
code11 years of coding experience
job5 years of employment as a software developer
bookUniversity of Tokyo
bookBachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Dalian University of Technology
languagesEnglish, Japanese, Chinese
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Github Skills (43)

artificial-intelligence10
chatgpt10
python10
langchain10
typescript10
llm10
openai10
autonomous-agents10
ai10
generative-ai10
claude10
gemini10
gpt10
anthropic10
agentic-ai10

Programming languages (4)

ShellC++Common LispPython

Github contributions (5)

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jiangjun0105/ear

Mar 2023 - Jul 2024

Contributions:3 PRs, 6 pushes, 5 branches in 1 year 3 months
jiangjun0105/SnowballsPython

Jun 2015 - Jun 2015

Contributions:11 commits, 10 pushes, 1 branch in 4 days
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