Tomiwa Ogunmodede

I'm a Senior / Staff Product Designer working across fintech, AI learning, edtech, enterprise SaaS, and operational systems.

The common thread is access.

Weak networks. Old devices. Language gaps. Uneven literacy. Payment friction. Messy operations. Delivery paths that depend on people, not just software.

That is where my work tends to sit: the access layer of complex products.

At Learning Equality, I work on Kolibri, an offline-first learning platform used in low-connectivity education contexts across the world. My work spans learner, coach, admin, content import, reporting, and design-system workflows.

At Mular, I led product and growth work for crypto-to-fiat payments. The job was not just moving money. It was making timing, value, fees, status, support, and trust clearer for users and business accounts.

At Farmcrowdy, I helped build one of Africa's early marketplace-finance products, translating farm cycles, sponsorship, projected returns, updates, and farmer operations into a product first-time users could understand.

At RIIID Labs, I worked on AI learning products including Jarvis, a teacher dashboard, and Shaipe, an AI LSAT companion. The work focused on turning prediction and diagnostics into useful study and teaching behaviour.

At AdPipe / SuperGIF, I designed foundational workflows for enterprise video creation: asset libraries, generation flows, brand-kit controls, versioning, export states, and reusable product components.

The framework I use for this work is the Access Assumption Audit: five checks across connectivity, device, language, literacy, and delivery surface.

Everyone is racing to become AI-native. I care about the layer beneath that: who can actually use what we build, under what conditions, and what breaks first.

Based in Dubai. Remote-first. Open to contract-friendly or relocation-backed roles with teams already set up to hire globally.