Kashyap Popat

Machine Learning Engineer at Meta

London, England, United Kingdom
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Summary

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Senior
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Top School
Kashyap Popat is a Machine Learning Engineer with nine years of experience building large-scale content understanding and NLP systems, currently working on content models at Meta in London. He holds a PhD from the Max Planck Institute where his dissertation produced explainable credibility-analysis models that retrieve evidence, model stance, and weigh source trustworthiness—work that bridges research-grade interpretability with practical retrieval. His background spans industry research and product deployments, from launching a personalized learning system at IBM Research to improving search robustness during a Facebook internship. Comfortable moving models from research to production, he combines deep academic rigor with hands-on engineering across cross-lingual IR, claim verification, and curriculum-aligned content analysis. An author on Google Scholar, he brings a rare mix of explainability-focused NLP expertise and operational experience at scale.
code9 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Max Planck Institute for Informatics
bookM.Tech, Computer Science, M.Tech, Computer Science at IIT Bombay
bookBachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Dharmsinh Desai Institute of Technology
languagesEnglish, Hindi, Gujarati
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Github Skills (22)

modeling9
nlp8
python8
deep-learning8
natural-language-processing8
gpu8
machine-learning8
pytorch8
bert7
neural-network6
tensorflow6
numpy5
vocabulary4
generative3
gpu-acceleration3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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kashpop/stancy

Jun 2020 - Jul 2020

Contributions:8 commits in 1 month
kashpop/CADeepLearning

Apr 2017 - May 2017

Contributions:7 pushes, 1 branch in 9 days
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