Machine Learning Engineer at University of British Columbia
Vancouver, British Columbia, Canada
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Summary
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Senior
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Top School
Aaron Dharna is a machine learning engineer and PhD student at UBC with a decade of experience blending reinforcement learning, generative models, and evolutionary methods to build adaptive agents and open-ended learning environments. His research at NYU produced peer-reviewed work on co-evolving environments and agents, and he has applied ML to real-world problems ranging from anomaly detection in manufacturing to materials discovery on DARPA-funded platforms. Comfortable switching between C++ system work and full-stack ML integrations, Aaron has a track record of shipping novel algorithms into production stacks and prototype research systems. Based in Vancouver, he brings academic rigor from his PhD and master’s training alongside hands-on engineering from internships and industry roles, and he is particularly interested in how games can illuminate open-ended intelligence. An often-overlooked strength is his experience bridging teams—translating mathematical kernels into usable design tools and deployable ML components.
10 years of coding experience
4 years of employment as a software developer
New Jersey Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of British Columbia
Bachelor of Science (B.S.), Mathematics and Computer Science, Bachelor of Science (B.S.), Mathematics and Computer Science at Fordham University
Master's degree, Data Analytics, Master's degree, Data Analytics at Fordham University Graduate School of Arts and Sciences
The only way to make sense out of change is to plunge into it, move with it, and join the dance -- Alan Watts
Contributions:1 review, 245 commits, 4 PRs in 1 year 2 months
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