Focused on building intelligent, intuitive, and performant web experiences — bridging design, engineering, and applied AI.
Selected Projects
A semantic search engine that helps founders discover compatible cofounders using vector similarity and natural-language queries. Built with Next.js, Supabase pgvector, and OpenAI embeddings.
An AI-powered video interview simulator that records sessions, transcribes speech, and evaluates tone and body language for feedback. Uses Whisper + GCP Vision + React video components.
Tool for creating short, sequential video responses to job or startup questions — a modern take on the video résumé. Integrates Next.js, Supabase storage, and lightweight AI captioning.
Visual tool to prototype and chain AI model calls — an experimental playground for applied AI pipelines. Migrated from Replicate to GCP to optimize cost and latency.
Work Experience
Blog
What 1,000+ Hours and a 4.98 Uber Rating Taught Me About Product-Market Fit
Lessons on incentives, feedback loops, and user obsession from 1,000 hours behind the wheel.
The Only Way to Beat Uber Is to Fix the One Thing They Ignore
Exploring the silent gap in Uber’s product strategy — and what it teaches about customer intimacy and emotional UX.
How 2,000 Uber Rides Made Me a Better Engineer
Driving taught me more about system design, patience, and feedback loops than any tech job ever did.
Why the Uber Product Is Almost Perfect
A breakdown of Uber’s product architecture through the lens of incentives, data, and trust design.
How I Built a Semantic Cofounder Finder with AI
From embeddings to vector search — lessons in building an AI people search engine that actually worked.
AI Is the Easy Part — Everything Else Is Product Work
What I learned after shipping multiple AI projects: it’s not the model, it’s the feedback loop.
The 3-Year Gap That Taught Me Everything About Resilience
Rebuilding after career stagnation — lessons on discipline, self-belief, and the cost of persistence.
Building the Future of Video Resumes with AI
Rethinking professional storytelling through interactive video, AI, and UX design.
Latency, Cost, and Sanity: Lessons from AI Inference in Production
What I learned scaling inference on GCP and AWS — and how to balance cost, speed, and reliability.
Connect
Feel free to contact me at hello@lanreadebayo.com