Saurabh Kulshreshtha
Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSaurabh Kulshreshtha is a Machine Learning Engineer and PhD candidate at the University of Massachusetts Lowell with 11 years of experience building NLP and deep learning systems across academia and industry. He has applied cross-lingual transfer learning and contextual embedding alignment in production-facing teams at Amazon Alexa and published at EMNLP, later contributing to recommendation and LLM initiatives at Fidelity and Meta. Skilled at moving research into practice, he’s delivered end-to-end NLP pipelines—from annotation and data curation to model deployment—that measurably improved personalization and operational efficiency. Based in New York, he blends rigorous research credentials with hands-on applied ML, often tackling multilingual and recommender-system challenges that sit at the intersection of language understanding and user-facing products.
11 years of coding experience
5 years of employment as a software developer
UMass Lowell
English, Hindi
Github Skills (33)
huggingface8
datasets8
speech8
natural-language-processing7
scatter7
computer-vision7
nlp7
scalable6
segment6
representations6
deep-learning6
ai6
tensorflow6
machine-learning6
build-system6
Programming languages (4)
Github contributions (5)
text-machine-lab/xword_benchmark
Mar 2022 - Aug 2022
Contributions:2 commits, 1 push, 1 branch in 5 months
skninja/lpthw
Aug 2015 - Aug 2015
Contributions:44 pushes, 1 branch in 1 day
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