Software and AI Engineer with 5+ years building production fintech, SaaS and AI products. Skills include AI evaluation, data annotation, response ranking, instruction-following review, factual accuracy checking, prompt engineering and code review. Built Refactor AI, an LLM-powered repository analysis and architecture audit platform, and Presency, a multi-tenant commerce platform with 172 business accounts and 6 paying businesses. Maintain Nextpayday (18,000+ borrowers) and Billp (300+ users). Strong in Python, TypeScript, JavaScript, PHP, API design, debugging and clear technical feedback.
Senior Full-Stack / Backend Engineer
Nextpayday — Fintech & Utility SystemsLed the backend architecture for a scalable utility fintech platform, delivering secure APIs for web and mobile (React) applications.
Stack: Laravel, PHP, MySQL, Next.js, REST APIs, Queues, Payments, React Integration
Lead Backend Engineer
NutlipStack: Node.js (NestJS), Clean Architecture, PostgreSQL, GCP Cloud Run, REST APIs
Frontend & Web3 Developer (Contract)
OvationStack: React, Web3, Wallet Integrations, Blockchain APIs
Full Stack Web And Mobile Developer
SarutechStack: Full-Stack Web & Mobile Technologies
Higher National Diploma
Petroleum Training InstituteAI Evaluation & Annotation: LLM response evaluation, data annotation, response ranking, instruction-following review, factual accuracy checking, rubric-based review, quality assurance and written feedback
AI Engineering: OpenAI API, RAG, Prompt Engineering, LLM Pipelines
Code Review: Debugging, bug detection, architecture review, API validation
Languages: TypeScript, JavaScript, Python, PHP, Rust, C#, Solidity
Frontend: React.js, Next.js, React Native, Tailwind CSS, Vite
Backend: NestJS, Laravel, FastAPI, Express.js, Node.js
Databases & ORM: PostgreSQL, MySQL, MongoDB, Redis, Prisma, SQLAlchemy, Eloquent
Payments: Paystack, Flutterwave, Stripe, LemonSqueezy
Infra/DevOps: Docker, Linux, Nginx, Caddy, PM2, GitHub Actions CI/CD, VPS Administration
Tools: Git, Figma, Postman, Swagger, Visual Studio Code, Android Studio, Microsoft Word, macOS
• Designed and implemented a backend system that analyzes GitHub repositories and generates automated architectural audits using large language models.
• Built a multi-stage analysis pipeline to ingest repositories via GitHub API, extract source files, filter irrelevant directories, and construct optimized prompt contexts for AI processing.
• Implemented asynchronous and background processing with FastAPI to handle long-running analysis tasks while keeping API responses responsive.
• Developed structured parsing for AI outputs to generate actionable insights including architecture feedback, refactor suggestions, bug detection, and project health metrics.
• Designed and implemented database schemas to persist analysis results, issue severity levels, summaries, and repository metadata.
• Built secure repository ingestion workflows using GitHub authentication and integrated REST APIs for frontend consumption.
Stack: Python, FastAPI, SQLAlchemy, PostgreSQL, OpenAI API, GitHub API, REST APIs, Background Tasks, LLM Prompt Engineering
Stack: Laravel, PHP, MySQL, Redis, REST APIs, Queues, Payments, Nginx, Linux, GitHub Actions
Stack: React (Vite), TypeScript, TanStack Query, Tailwind CSS, REST API, FastAPI, Cloudinary, LemonSqueezy, Railway, Framer Plugin API, Figma Plugin API
Stack: Node.js (Nestjs), React, APIs, Real-time Systems