Revant Teotia
Visiting Researcher at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRevant Teotia is a computer vision and multimodal AI researcher with 11 years of industry and academic experience, currently a Visiting Researcher on Meta AI’s Fundamental AI Research team while pursuing a PhD at NYU Courant. He blends systems and product-facing engineering from his Samsung work—shipping C/C++ modules for smartwatch health features and BLE/NFC integrations—with deep research in vision-language models and dataset creation, including a 15K-image dataset and multimodal transformer for knowledge-aware retrieval. His academic work includes visual relationship co-localization accepted to ICCV and publications on pose-based workout analysis, reflecting a track record of moving ideas from prototype to publication and production. Comfortable mentoring students and running reading groups, he bridges rigorous research methodology with practical deployment experience across devices and large-scale ML. An under-the-radar strength is his cross-domain fluency: low-level embedded systems to transformer architectures, enabling end-to-end solutions in applied AI.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at New York UniversityIndian Institute of Technology KanpurMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
Github Skills (23)
dialog10
clip9
multimodal8
pytorch8
deep-learning7
ai6
representation-learning4
face4
fairseq4
localization3
emotion-recognition3
pytorch-lightning3
large-language-models2
audio-classification2
animation2
Programming languages (2)
Github contributions (5)
revantteotia/revantteotia.github.io
Aug 2020 - Nov 2025
Contributions:41 pushes in 5 years 4 months
revantteotia/clip-training
Apr 2021 - Feb 2022
Code to train CLIP model
Contributions:4 commits, 2 PRs, 2 pushes in 10 months
deep-learningpytorchcliptrain
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