Adeola
Little Rock, Arkansas, United States
Summary
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RockstarAdeola 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
Github Skills (81)
kubernetes-operator10
golang10
webassembly10
gatsbyjs10
visualization10
opa9
meshery9
internal-developer-platform9
design-patterns9
cloud-native9
infrastructure-as-code9
react9
aws-app-mesh9
kubernetes9
visual-designer9
Programming languages (10)
Github contributions (5)
Adeola-Adesoba/WiDs-Project
Feb 2019 - May 2026
Contributions:4 PRs, 3 pushes, 2 branches in 7 years 4 months
Adeola-Adesoba/Oil-Palm-Plantation-Detection-via-Satellite-Images
May 2020 - Jul 2020
This project was for a competiion organized by Women in Data Science (WiDS) Stanford University. I and two other ladies worked together and we came top 38% out of 203 teams.
Contributions:14 commits, 2 PRs, 12 pushes in 2 months
data-science
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