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Henry OderindeHO
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Henry Oderinde

@henryoderinde

Backend & AI Engineer at QwamPay who built an operations platform serving 109K+ users and 208K+ transactions.

Nigeria
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At QwamPay, I built an internal operations platform serving 109K+ users and supporting oversight of 208K+ transactions. I added hierarchical access controls, maker-checker approvals, encrypted KYC data, and a searchable audit trail for sensitive admin activity.

I also built LeAi, an AI learning platform that launched in one month and was used by 30,000+ university students to generate practice assessments from their course materials. Across my other work, I’ve built trading dashboards, API-integrated admin tools, and AI projects including a network congestion model that classified congestion at 93.22% accuracy.

Experience

Work history, roles, and key accomplishments

RI

Software Engineer

RISKVEX

Sep 2025 - Dec 2025 (3 months)

Built a real-time risk and leverage dashboard used by 40+ active traders, cutting manual calculation bottlenecks by 85%. Automated subscription payments and user management for 100+ registered traders.

LE

Founder & Product Engineer

LeAi

Apr 2024 - Dec 2025 (1 year 8 months)

Built and launched a RAG-based learning platform used by 30,000+ university students, with OCR text extraction and AI-generated assessments. Cut server request load by ~90% through caching and led engineering through an 8-month incubation.

FF

Software Engineer (Contract)

Fast & Fun

Jan 2025 - Jul 2025 (6 months)

Built a CMS/admin dashboard with Vue.js, Laravel/PHP, and MySQL, integrating 10+ REST APIs for user and event management. Automated notifications with AWS SES, eliminating manual notification work.

Education

Degrees, certifications, and relevant coursework

Tai Solarin University of Education logoTE

Tai Solarin University of Education

B.Sc. (Ed.), Computer Science

2022 -

Grade: 4.0/5.0

Activities and societies: Two-time scholarship recipient; training with AltSchool Africa, 3MTT, CcHUB, and Huawei HCIA-Datacom (in progress).

Pursuing a B.Sc. (Ed.) in Computer Science with a CGPA of 4.0/5.0 and two-time scholarship recipient. Includes training in software engineering, machine learning, and networking.

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