Neil Shah
Director Of Research Sr. Principal Research Scientist at Snap Inc.
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNeil Shah is a Director of Research and Senior Principal Research Scientist at Snap Inc. with 11 years of experience building and translating user modeling, graph ML, and language-model-driven personalization into production at billion-scale. He leads cross-functional research programs that connect academic rigor with product impact across Growth, Content, Ads, and Safety, while retaining hands-on IC bandwidth to drive high-leverage technical projects. His PhD work at Carnegie Mellon and internships across Microsoft, LLNL, and Twitch underpin deep expertise in anomaly/fraud detection, temporal graph understanding, and recommender systems. Neil publishes and organizes workshops in top ML and IR venues and actively cultivates academic partnerships to accelerate both science and platformization. Based in Seattle, he is as comfortable defining research strategy as he is optimizing scalable GNN training and inference pipelines.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at North Carolina State UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Carnegie Mellon University
Stackoverflow
17reputation
1kreached
0answers
4questions
Github Skills (26)
gnn10
pytorch-geometric9
scalability8
deep-learning8
graph-neural-network8
graph8
large-scale8
pytorch8
procedure6
sql6
machine-learning6
matrix6
complexity-theory6
stored-procedures6
matlab6
Programming languages (4)
Github contributions (5)
nshah171/cabam-graph-generation
Jul 2020 - Jan 2023
Contributions:3 commits, 1 push, 2 branches in 2 years 6 months
nshah171/personal-website
Jan 2019 - Apr 2026
Contributions:160 pushes, 1 branch in 7 years 3 months
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