Jonathon Schwartz
Member Of Technical Staff at Reflection AI
New York City Metropolitan Area United States
Summary
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Senior🎓
Top SchoolJonathon Schwartz is a Member of Technical Staff at Imbue and a PhD candidate at The Australian National University, focusing on scalable planning and reinforcement learning in partially observable, multi-agent environments. With eight years of experience, he has built and deployed AWS-based server infrastructures to support scalable, multi-user experimental environments like CybORG. His research spans multi-agent decision making, planning, and reinforcement learning, complemented by an active GitHub portfolio centered on better reasoning agents. Based in the San Francisco Bay Area, he effectively bridges academia and industry, translating research into production-grade ML and cloud infrastructure. He holds a BS in Computer Science from The University of Queensland and a BMarSt in Marine Biology and Ecology, reflecting an unusually broad interdisciplinary background. He maintains a Google Scholar profile for up-to-date publications and a GitHub presence that showcases evolving autonomous-agent projects.
9 years of coding experience
3 years of employment as a software developer
Australian National UniversityBachelor of Science - BS, Computer Science, GPA 6.79/7, Bachelor of Science - BS, Computer Science, GPA 6.79/7 at The University of Queensland
English, French
Github Skills (37)
simulation10
python10
testing10
datamining10
reinforcement-learning10
markov-decision-processes10
q-learning10
cpp10
planning10
monte-carlo-tree-search10
optimization10
parallel9
pytorch9
java9
operations-research9
Programming languages (4)
Github contributions (5)
Jjschwartz/Jjschwartz.github.io
Nov 2018 - Dec 2021
A collection of papers and other publications that I have written or been involved in
Contributions:2 PRs, 11 pushes, 2 branches in 3 years
deep-learningmachine-learningpublicationsdata-science
Jjschwartz/NetworkAttackSimulator
Jul 2018 - Jul 2022
An environment for testing AI pentesting agents against a simulated network.
Contributions:12 releases, 199 commits, 22 PRs in 4 years 1 month
testingreinforcement-learningagentssimulationai-agents
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