Jayesh Gupta
Co-Founder at Silurian AI
Kirkland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJayesh Gupta is a deep learning researcher and engineer with 13 years of experience who co-founded Silurian AI after founding-stage work at Poly and a senior research role at Microsoft. His expertise spans data-driven simulations—from sensors to weather and climate systems—alongside deep reinforcement learning, planning, and multi-agent coordination informed by a PhD from Stanford. At Microsoft he led large-scale simulation projects, and his Stanford thesis on modularity and coordination reflects a focus on scalable, structured decision-making. He contributes to open-source tooling around decision processes (helping improve the widely used JuliaPOMDP ecosystem through documentation, tests, and maintenance), showing an attention to reproducibility and developer experience. Based in Kirkland, WA, he combines academic rigor with startup pragmatism, often bridging system identification and RL to build practical, multi-agent solutions. An understated through-line in his career is turning theoretical insights into maintainable code and clear documentation that accelerates team delivery.
13 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology KanpurSt. Paul's Sr. Sec. School, Jodhpur, Rajasthan, IndiaDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
English, Hindi
Github Skills (8)
julia10
documentation10
code-cleanup9
maintenance9
git8
version-control8
test-automation8
artificial-intelligence5
Programming languages (8)
Github contributions (5)
JuliaPOMDP/POMDPs.jl
May 2016 - May 2021
Role in this project:
Technical Writer
Technical WriterContributions:1 release, 31 commits, 11 PRs in 5 years
Contributions summary:Jayesh's contributions primarily involve correcting spelling errors and fixing typos within the project's source code. These changes are focused on improving the clarity and accuracy of documentation and comments. Additionally, the user made updates to the codebase which included merging branches and adding a registry command, suggesting involvement in code maintenance and project organization. This user has also updated the test files to be more modern.
pythonhidden-markov-modelcontrol-flowcontinuousspaces
microsoft/ClimaX
Dec 2022 - Feb 2023
Foundation model for weather & climate
Contributions:7 releases, 9 reviews, 13 commits in 2 months
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