João Leite is a Research Associate and PhD candidate in Computer Science at The University of Sheffield with eight years of experience building NLP and data-driven products. He has applied research to production at scale—developing a query expansion system and intent-prediction models for PicPay’s search engine used by millions—and has deep experience across the ML pipeline from web scraping to annotation, NER, sentiment and taxonomy building. At Sheffield he combines teaching and research, creating lab materials and assessment for text processing while driving doctoral research. Comfortable moving models from prototypes into A/B-tested features, he blends rigorous academic methods with product-focused engineering. Colleagues describe him as someone who bridges careful experimental design with practical deployment, often surfacing insights from noisy user-query data that aren’t obvious from aggregate metrics alone.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidade Federal de São Carlos - UFSCar Oficial
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Sheffield
A simple tweet collector wrapper built on top of tweepy and optionally integrated with Google Drive. It will collect all the tweet, user, media and location fields and dump it to a json file.
Contributions:3 releases, 33 commits, 4 PRs in 3 months
Contributions:9 commits, 20 pushes, 2 branches in 9 months
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