Fatime Selimi is a software engineer with eight years of experience building full-stack and machine learning-driven products, currently contributing to applied ML efforts on Yelp’s Recommendations and Discovery team. She combines a strong Python and cloud-native background—spanning Django, DRF, serverless Scrapy pipelines on AWS, Docker/Kubernetes, and CI/CD—with front-end experience introducing modern UI tooling like Vue.js. With an MS in Data Science from UBC and a history of shipping data-intensive solutions, she bridges research-minded curiosity about AI/ML with pragmatic production delivery. Fast-learning and meticulous by nature, she’s equally comfortable optimizing web UX as she is architecting scalable data pipelines, and describes her craft succinctly as “building worlds in code.”
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at The University of British Columbia
Universiteti i Prishtinës "Hasan Prishtina"
Exchange year, Computer Engineering, Exchange year, Computer Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
The Mental Health in Tech Dashboard visualizes a dataset consisting of survey questions and responses about various aspects of the mental health of tech workers.
Contributions:3 reviews, 54 commits, 31 PRs in 1 month
Covid-19 Cases vs Tests Analysis in Canada and the USA
Contributions:4 releases, 31 reviews, 27 PRs in 2 months
testingcases
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