Hirotaka Ishihara
Software Engineer at Morgan Stanley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolHirotaka Ishihara is a software engineer based in Berkeley with eight years of experience blending research-driven AI work and production software development. Currently at Morgan Stanley’s Commodity Technologies team after building an LLM+LangChain productivity chatbot as a summer analyst, he focuses on practical applications of Web3 and generative AI to improve user outcomes. His background spans academic research—from deep reinforcement learning for transit signal priority to computer-vision data pipelines—and engineering internships that translate prototypes into deployable tools. A UC Berkeley MEng (3.86) and University of Toronto CS specialist (3.89), he combines strong technical rigor with a product-minded approach to shipping impactful solutions.
8 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Electrical Engineering and Computer Sciences, 3.86, Master of Engineering - MEng, Electrical Engineering and Computer Sciences, 3.86 at University of California, BerkeleyBachelor of Science - BS, Computer Science Specialist, 3.89, Bachelor of Science - BS, Computer Science Specialist, 3.89 at University of Toronto
English, Japanese, Chinese, Shanghainese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
reinforcement-learning5
deep-learning3
autonomous-vehicles3
deep-reinforcement-learning3
wechat-mini-program2
Programming languages (7)
Github contributions (5)
JerryIshihara/JerryIshihara
Oct 2020 - Mar 2026
Contributions:1 PR, 11 pushes, 2 branches in 5 years 5 months
JerryIshihara/coordinated-transit-signal-priority
Jun 2020 - Mar 2021
Improving coordinated (two intersections) transit signal priority on bus travel time and headway reliability with single agent reinforcement learning (SARL) approach
Contributions:1 review, 44 commits, 17 PRs in 8 months
reinforcement-learning
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