Sneha Mehta
Research Scientist at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSneha 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.
12 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceDeep Learning Reinforcement Learning Summer School, Deep Learning Reinforcement Learning Summer School at University of AlbertaDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Virginia TechAlgebra and Number Theory, Algebra and Number Theory at Harish-Chandra Research Institute
English
Github Skills (15)
comprehension10
sentence10
nlp8
natural-language-processing8
tensorboard6
chainer5
vector-space5
visualization5
machine-learning4
pytorch4
deep-learning3
tensorflow3
numpy2
mxnet2
vector1
Programming languages (1)
Github contributions (5)
sumehta/ideal_topic_modeling
Jan 2016 - Dec 2017
Contributions:8 commits, 7 pushes, 1 branch in 1 year 10 months
sumehta/question-generation
Jun 2017 - Apr 2021
Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains answers to those questions.
Contributions:39 commits, 1 PR, 38 pushes in 3 years 11 months
nlpsentencecomprehensionnatural-language-processingreading-comprehension
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.