Selected work

Selected work by Daniel Oduonye across applied AI workflows, mobile products, backend engineering, and cloud systems.

I build products and systems where applied AI, backend engineering, and reliable delivery meet. These are the three areas that best describe my work.

AI workflows and product engineering

At Pineapple Software, I build AI-powered products and creative pipelines. One workflow turned rough ideas into ready-to-publish video assets in under five minutes.

My focus is practical AI: clear inputs, useful outputs, repeatable workflows, and systems that help people ship work faster.

Mobile products at scale

I was the first technical hire and Head of Mobile Engineering at Aura Health. I helped lead a wellness product that grew to more than 3 million downloads.

This work shaped how I think about product quality: simple user flows, dependable releases, useful telemetry, and engineering decisions tied to real user outcomes.

Backend and cloud systems

My backend and cloud work spans Go, Python, TypeScript, AWS, Kubernetes, and real-time systems. I use these tools to turn product requirements into maintainable services, APIs, and delivery pipelines.

I am especially interested in applied AI infrastructure, agent workflows, LLM evaluation, backend platforms, and systems that remain understandable as they grow.

Continue exploring

See the code onGitHub, connect with me onLinkedIn, or return tooduonye.com.