Jason Gauci
Research And Development at The University of Texas at Austin
Austin, Texas Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJason Gauci is a seasoned software engineering leader with 15+ years building large-scale machine learning systems that serve billions of users, from Google and Apple to Facebook AI and autonomous vehicle teams at Argo/Latitude. He specializes in reinforcement learning, recommender systems, ML platforms, and ML Ops—publishing and open-sourcing work such as Facebook’s ReAgent and contributing to practical tools like Eternal Terminal. Jason blends research pedigree (Ph.D. work on HyperNEAT neuroevolution) with hands-on systems engineering, having optimized massive distributed learners and shipped inference and evaluation stacks for production fleets. He has repeatedly built teams and infrastructure from scratch—most recently leading AI infrastructure, virtual testing, and generative behavior simulation for autonomy—and still codes core backend components himself. An engaging communicator and educator, he co-hosts a popular programming podcast and maintains active open-source contributions that bridge research and production.
16 years of coding experience
25 years of employment as a software developer
Ph.D. Computer Science, Artificial Intelligence, Neuroevolution, Ph.D. Computer Science, Artificial Intelligence, Neuroevolution at University of Central Florida
English
Stackoverflow
773reputation
61kreached
21answers
2questions
Github Skills (17)
c-language10
python10
networking10
cprogramming-language10
preprocess9
testing9
preprocessing9
debugging9
thread-pool8
csv6
bittorrent6
nodejs6
thrift6
compiler-construction6
serialization6
Programming languages (21)
Github contributions (5)
MisterTea/EternalTerminal
Nov 2016 - Jan 2023
Re-Connectable secure remote shell
Role in this project:
Back-end Developer
Back-end DeveloperContributions:78 releases, 23 reviews, 1074 commits in 6 years 3 months
Contributions summary:Jason's contributions focus on developing and testing core functionalities within the `eternalterminal` repository. They implemented fundamental structures, including `EternalTCP.h` and `EternalTCP.cpp`, and added testing frameworks with `TestTransfer.cpp` to validate the stability and functionality of the connection. Further development involved implementing `BackedWriter.cpp`, `BackedReader.cpp`, and other related files to manage buffered writes.
shellsshremote-shellterminaltmux
facebookresearch/ReAgent
Aug 2017 - May 2021
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Role in this project:Back-end Developer
Back-end DeveloperContributions:216 commits, 79 PRs, 68 pushes in 3 years 9 months
Contributions summary:Jason appears to have been involved in improving Python 3 compatibility within the ReAgent codebase, fixing code in trainer.py and rlmodels/rlmodel_base.py. Their work involved addressing compatibility issues and implementing fixes to ensure the project functions correctly. Additionally, the user contributed to preprocessing tasks, resolving a bug related to clipping in boxcox processing, which further shows their skills in code optimization.
reinforcement-learning
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