Summary
Ademola Okerinde is a data scientist and deep learning researcher with eight years of experience applying ML to real-world problems across industry and academia. Currently at Microsoft within Dynamics 365, he focuses on customer data quality solutions and developing BART-based scoring for conversational sales summaries. His background spans end-to-end ML system building—from GPU-configured research prototypes and object detection pipelines to production-focused data quality and NLP models—grounded in a PhD in Computer Science. He has practical software engineering chops from roles in GIS, web and API development, and automation, enabling smooth product integrations. A former KDD lab project lead, he also developed domain-specific solutions like automated bee identification and fraud detection, reflecting a knack for turning niche research into applied tools. Based in Redmond, he blends rigorous research methods with production engineering to improve downstream product outcomes.
8 years of coding experience
6 years of employment as a software developer
B.Sc., Computer Engineering, B.Sc., Computer Engineering at Obafemi Awolowo University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Kansas State University
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at University of Ibadan