Sneha Mehta

Research Engineer at Meta

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Sneha Mehta is a research scientist and NLP-focused AI/ML engineer with 13 years of experience building production-grade conversational AI and billion-scale recommender systems. Based in the San Francisco Bay Area, she has driven applied research and engineering across Meta, TikTok search and recommendations, Twitter Cortex research, and BloombergGPT post-training efforts. Her background spans both deep research—PhD-level training and work on knowledge graphs and recommender architectures—and hands-on productionization of large models and search relevance. She has practical experience in localization and machine translation from internships at Netflix and early R&D at DreamWorks, reflecting a breadth from creative pipelines to large-scale ML systems. Known for bridging research and product, she often moves prototypes into live serving environments at scale. A detail that sets her apart is combining formal math training in algebra and number theory with deep-learning specialization, informing rigorous model design and evaluation.
code13 years of coding experience
job7 years of employment as a software developer
bookDeep Learning Reinforcement Learning Summer School, Deep Learning Reinforcement Learning Summer School at University of Alberta
bookBITS Pilani, Birla Institute of Technology and Science
bookDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Virginia Tech
bookAlgebra and Number Theory, Algebra and Number Theory at Harish-Chandra Research Institute
languagesEnglish
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Github Skills (13)

comprehension10
sentence10
nlp-machine-learning10
natural-language-processing9
nlp9
tensorboard6
visualization6
vector-space6
machine-learning5
pytorch5
chainer4
numpy3
mxnet2

Programming languages (1)

Python

Github contributions (5)

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sumehta/ideal_topic_modeling

Jan 2016 - Dec 2017

Contributions:8 commits, 7 pushes, 1 branch in 1 year 10 months
sumehta/FBMA

Jan 2020 - Oct 2020

Contributions:22 commits, 20 pushes, 1 branch in 8 months
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