Oluwafunmilola Kesa is a software engineer and aspiring research scientist with over a decade of experience building production systems and ML tools across startups, research labs, and Microsoft. She co-founded and served as CTO of a recruitment startup that cut hiring time by 60%, and has driven data-heavy projects—from scaling video ingestion pipelines for Transport for London to mobile plant-disease detection—demonstrating strength in both backend engineering and applied machine learning. A product-minded engineer and servant leader, she has shipped APIs, dashboards, and cloud integrations while mentoring communities as a WomenTechmakers Ambassador and GDG Kigali co-organizer. Based in Redmond, she blends rigorous academic training (MPhil/MS) with hands-on impact in healthcare, government, and enterprise domains, and is actively shifting toward research-focused roles.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, First Class, Bachelor of Science (B.Sc.), Computer Science, First Class at University of Lagos
Dolafield College
Master of Philosophy - MPhil, Computer Science, Master of Philosophy - MPhil, Computer Science at University of Warwick
Master of Science - MS, Information Technology, Master of Science - MS, Information Technology at Carnegie Mellon University
This repository accompanies the paper https://arxiv.org/abs/2108.10543.
Contributions:225 commits, 6 PRs, 22 pushes in 1 year 11 months
deep-learningarxivmachine-learningabs
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Oluwafunmilola Kesa - Software Engineer at Microsoft