Trevor Santarra
Principal Machine Learning Engineer at Bitpart.AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTrevor Santarra is a Principal Machine Learning Engineer and AI researcher with nine years of experience building game-focused multi-agent planning, reinforcement learning, and code-free authoring tools from research prototypes to production. Based in San Francisco, he led advanced AI efforts at Unity—shipping a Burst-compiled multi-core planner, a semantic Traits markup, AlphaZero-style RL with GNN value estimators, and node-based behavior authoring—while mentoring teams and coordinating tech transfer. His work blends deep academic research (PhD-level work on policy communication and active inference) with practical systems engineering, including a patented driver-monitoring project from Honda and multiple patent filings from Unity. Comfortable across planning systems, behavior trees, utility AI, CV classifiers, and LLM-driven code/behavior generation, he also enjoys teaching Game AI and translating experimental ideas into usable tools. Notably, he has collaborated with research groups at Microsoft, Facebook, SRI, and IKEA, demonstrating an ability to bridge industry and academia on complex, interactive AI problems.
9 years of coding experience
16 years of employment as a software developer
University of California Santa CruzBS Applied Mathematics (Focus: Computer Science), BS Applied Mathematics (Focus: Computer Science) at The University of Tulsa
Github Skills (11)
otto6
api5
planning5
navmesh5
agent-based-modeling4
machine-learning3
ad-hoc2
deep-learning2
python2
artificial-intelligence1
ai1
Programming languages (3)
Github contributions (5)
tsantarra/Llab-Co
Oct 2016 - May 2020
A framework for AI in ad hoc team domains.
Contributions:47 pushes, 3 branches in 3 years 7 months
pythondeep-learningmachine-learninghocad-hoc
Unity-Technologies/ai-planner-samples
May 2020 - Jan 2021
Contributions:4 commits, 4 pushes, 3 branches in 8 months
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