Georgia Phillips
Software Engineer at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGeorgia Phillips is a software engineer focused on ML inference optimization and PyTorch runtime/compiler work, currently accelerating recommender-system inference at Meta. With a BS in Mathematics and Computer Science from MIT and two years of professional experience, she has moved rapidly through roles at Appian and AWS into specialized AI systems work. Her background spans cloud networking (VPC at AWS), data engineering, and applied ML research, giving her a practical bridge between infrastructure and model runtime performance. She has experience teaching and curriculum development, reflecting strong communication skills alongside technical depth. Colleagues describe her as someone who quickly pivots from high-level systems design to low-level performance tuning—an asset for productionizing ML workloads. Based in Seattle, she combines academic rigor with hands-on delivery in high-scale engineering environments.
2 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Mathematics and Computer Science, Bachelor of Science - BS Mathematics and Computer Science at Massachusetts Institute of TechnologyProgramming languages (1)
Github contributions (2)
GeorgiaPhillips1008/ACE_Framework
Oct 2023 - Oct 2023
Public repo for my latest and greatest cognitive architecture ACE (Autonomous Cognitive Entity) Framework
Contributions:2 pushes, 3 branches in 10 days
daveshap/ACE_Framework
Oct 2023 - Nov 2023
ACE (Autonomous Cognitive Entities) - 100% local and open source autonomous agents
Contributions:15 PRs, 23 pushes, 5 branches in 1 month
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