Aristotelis Economides
Software Engineer at Google DeepMind
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAristotelis Economides is a software engineer focused on building infrastructure to deploy and serve frontier AI at DeepMind, with five years of experience across Google, EPFL, and research labs. He blends practical production engineering with a strong academic grounding in computational science and machine learning, having completed a master’s thesis at EPFL bridging ML and neuroscience. Based in San Francisco, he has moved rapidly through roles at Google into DeepMind, indicating both deep technical ability and adaptability in high-stakes ML infrastructure. His background ranges from computer vision research to hands-on systems work, giving him a rare perspective that spans model research, deployment tooling, and scalable serving. Notably, he pivoted from a civil engineering undergraduate degree to become a practitioner-researcher in AI infrastructure, reflecting an engineer who follows problems across disciplines.
5 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Civil Engineering, Bachelor of Science - BS, Civil Engineering at University of CyprusMSc. (Hons), Computational Science and Engineering, MSc. (Hons), Computational Science and Engineering at Technical University of MunichMaster's Thesis, Machine Learning / Neuroscience, Master's Thesis, Machine Learning / Neuroscience at EPFL
Greek, English, German, French
Github Skills (41)
pytorch10
javascript10
toolbox10
pose10
deep-learning10
pose-estimation10
react10
documentation10
query-builder9
sqlite9
nodejs9
sql-server9
database9
mongodb9
unit-of-work8
Programming languages (5)
Github contributions (5)
intergalacticmammoth/phiflow2blender
Oct 2020 - Oct 2021
Contributions:36 commits, 62 pushes, 1 branch in 1 year
intergalactic-mammoth/DeepLabCut
Jun 2021 - Apr 2022
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals
Contributions:1 PR, 58 pushes, 24 branches in 9 months
pytorchdefinedmarkerlessdeep-learningpose-estimation
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