Jack Gerrits
Vice President, Applied Generative AI
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJack Gerrits is a Vice President-level software leader with 12 years of experience building high-performance, scalable systems and applied generative AI. He blends hands-on expertise in Rust, C++ and Python with research-led work on multi-agent and agentic software design, having been a core developer on Microsoft’s widely used AutoGen project. At Microsoft Research he bridged reinforcement learning platforms and production agent frameworks, and now applies that experience to strategic AI development at The D. E. Shaw Group. Known for pragmatic, robust software design, he also contributes practical docs and notebook tooling to open-source projects—an indicator of his focus on developer productivity as well as core systems. Trained in advanced computer science and shaped by both academic and industry research environments, he brings a rare mix of low-level systems craftsmanship and AI-forward architecture.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Computer Science (Advanced), Bachelor of Computer Science (Advanced) at University of AdelaideSummer Study Tour Artificial Intelligence, Summer Study Tour Artificial Intelligence at Harbin Institute of Technology
Stackoverflow
821reputation
67kreached
32answers
12questions
Github Skills (11)
documentation10
python9
jupyter-notebook9
http6
ssl6
vowpal-wabbit6
keystore6
training-data6
server6
reinforcement-learning6
java6
Programming languages (21)
Github contributions (5)
microsoft/autogen
Jan 2024 - Mar 2025
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 576 reviews, 571 PRs in 1 year 2 months
Contributions summary:Jack primarily worked on documentation, installation, and Jupyter Notebook support for the AutoGen project. They implemented documentation for the installation process, including splitting it into multiple parts and fixing links. Additionally, the user added initial Jupyter Notebook support for website docs, including moving configuration notebooks, and updated the sidebar.
agenticagentic-agiagentsaiautogen
jackgerrits/reductionml
Jun 2023 - Oct 2023
Reduction-based machine learning framework with a focus on contextual bandits
Contributions:2 releases, 1 review, 167 PRs in 3 months
contextual-banditsdata-sciencemachine-learningonline-learningrust
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