David Oyelade

Architecture & Monetization: Architected a SaaS ecosystem with 6 AI modules (Auto-Apply, Voice Coach), implementing a Credit-Based Ledger via Supabase/Postgres to handle atomic transactions. AI Engineering: Engineered a Chrome Extension and RAG pipelines using Next.js 15 and DOM manipulation, enabling autonomous job applications and resume analysis. Scale & Performance: Onboarded 150+ Beta Users with zero critical bugs, achieving a 98/100 Lighthouse Score through SSR and Edge Caching.

Owned the end-to-end architecture and AI feature set for a greenfield job-search platform serving thousands globally. Led the MVP launch in 8 weeks achieving 25k monthly active users with zero critical bugs. Built AI résumé parser and coach using Gemini and Llama 3, reducing apply-flow time by 40% and increasing signups by 23%. Implemented server-side rendering and image optimization to cut first-paint time by 55%. Led a 4-engineer squad across 3 time zones with 97% GitHub Actions CI pass rate. Managed Supabase GraphQL layer and Firebase handling 1.5 million queries monthly for 25k MAU.

Drove performance and conversational AI upgrades for a 120k monthly active user e-commerce PWA. Rebuilt PWA with Next.js and Tailwind CSS, halving largest contentful paint (LCP) from 4.3s to 2.1s and increasing mobile checkout conversion by 18%. Rolled out IBM Watson speech bot reducing 42 weekly agent-hours with 94% intent accuracy. Developed product microsites including OpenProp.africa scoring 94/100 in Lighthouse and generating approximately USD 1k GMV monthly. Created reusable design-system components reducing feature lead time by 30%.