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David ItinaDI
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David Itina

@daviditina

I build production-ready AI systems for fraud detection, document automation, and real-world ML workflows.

Nigeria
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What I'm looking for

I'm looking to build practical AI and ML systems that solve real business problems, especially in healthcare, manufacturing, finance, and logistics using RAG and agentic workflows.

I've built production-oriented AI systems spanning document automation and offline-payment fraud detection. My Dokusure platform automates customs document extraction for Nigerian clearing agents, while my QPay fraud system reached 99.1% validation accuracy and was deployed as a FastAPI scoring service.

At KodeHauz, I built and deployed a real-time sign-language recognition system using CNNs, MobileNetV2, MediaPipe, and speech output across seven gesture classes. I also moved machine-learning models from notebooks into production-facing Python and FastAPI APIs, and led an AI, Python, web development, and Arduino robotics curriculum for more than 150 students.

I'm building ITINA AI and exploring practical RAG and agentic workflow applications across healthcare, manufacturing, finance, and logistics.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Covenant University logoCU

Covenant University

Bachelor of Science, Industrial Mathematics

2022 -

Pursuing a Bachelor of Science in Industrial Mathematics with coursework in linear algebra, probability and statistics, multivariable calculus, and numerical optimization applied to machine learning model design and evaluation.

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