Abdulyekeen Maadan

I’m a software developer with a Mathematics background and 2+ years delivering production applications for real clients. I ship across the full frontend stack—React, TypeScript, and Go—and I build AI-augmented products using Gemini and SSE streaming pipelines. I bring a logic-driven, structured approach to architecture decisions, debugging, and problem decomposition.

Most recently, I launched NextRole NG, a full-stack CV optimisation tool for the Nigerian job market that gained organic traction in its first week. I built a two-phase Gemini AI pipeline to extract verified CV facts and generate tailored rewrites per Nigerian job category—reducing hallucination and improving output reliability. I implemented SSE streaming for real-time results (~15 seconds) and handled multimodal PDF extraction, including Canva-formatted CVs.

I also work with AI agents as a core part of my development workflow—directing them with precise, scoped instructions to produce production-ready code efficiently. As a self-employed contract developer, I managed full project cycles independently (scoping, building, testing, and deploying) and optimized asset loading and rendering performance to achieve 90+ Lighthouse scores. Along the way, I delivered responsive React experiences and design systems for clients like ATEKER Luxury Safaris and an Executive Persona Platform, enforcing strict TypeScript typing across API boundaries.