Summary
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Top SchoolAdeola A is a Solutions Architect specializing in security, agentic AI, and AI factory architectures, with seven years of experience designing and deploying scalable AI systems at NVIDIA. She blends deep technical expertise in Python, PyTorch, MLOps, Kubernetes, and NVIDIA inference tooling (TensorRT, Morpheus, NeMo Agent Toolkit) with practical CI/CD and cloud deployment experience to productionize agentic and accelerated deep learning solutions. Her background spans applied data science, conversational AI, and large-scale NLP/speech projects, and she has demonstrated impact across enterprises and research settings. Adeola pairs this technical career with long-standing leadership in sport-for-development and youth policy, directing global programs that sharpen her stakeholder engagement and program delivery skills. She is concurrently pursuing advanced studies in Information Science and applies rigorous information quality and data science principles to system design. Notably, she moves fluidly between building low-level model acceleration and higher-level governance for agentic systems, a combination that helps organizations scale AI responsibly.
7 years of coding experience
4 years of employment as a software developer
Master's degree, Information Science, Information Quality (Minor: Data Science), Master's degree, Information Science, Information Quality (Minor: Data Science) at University of Arkansas at Little Rock
DS4B 101 - R, DS4B 101 - R at Business Science University
DS4A Fellow, Data Science and Analytics, DS4A Fellow, Data Science and Analytics at Training and Competitions by Correlation One
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at University of Ilorin, Nigeria
Data Scientist in Python, Data Scientist in Python at Dataquest.io
English, French, Yoruba