Aristotelis Papadopoulos
Senior Research Scientist, GenAI at Meta
New York, New York, United States
Summary
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Top SchoolAristotelis Papadopoulos is a Senior Research Scientist in Generative AI at Meta with eight years of experience bridging cutting-edge ML research and product-facing systems. He transitioned from building large-scale deep learning recommender models for Ads Ranking to designing end-to-end GenAI applications, combining rigorous academic training (PhD work at USC) with production impact. His PhD research produced SOTA methods for anomaly and OOD detection and practical tools for traffic simulation and optimization that were adopted by stakeholders like LAX traffic agencies. Comfortable moving between theory and engineering, he has a track record of productizing research, running A/B experiments, and securing cloud research credits through grant-writing. Based in New York, he blends optimization, graph neural networks, and deep learning expertise to tackle real-world problems at scale.
7 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical & Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical & Computer Engineering at University of Southern CaliforniaMaster’s Degree Electrical & Computer Engineering, Master’s Degree Electrical & Computer Engineering at University of PatrasHigh School High School/Secondary Diplomas and Certificates, High School High School/Secondary Diplomas and Certificates at Lycée Leonin de Patissia
English, French, Greek
Github Skills (20)
anomaly-detection9
adaptation8
meta7
autoencoder7
machine-learning7
adversarial-learning7
deep-learning7
predictive6
uncertainty5
ensembles5
meta-learning5
pytorch4
survey4
uncertainty-quantification4
python4
Programming languages (3)
Github contributions (5)
Contributions:41 commits, 37 pushes, 1 branch in 9 months
nazim1021/OOD-detection-using-OECC
Dec 2019 - Mar 2021
Contributions:243 commits, 98 pushes in 1 year 3 months
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