I'm a Full-Stack Software Engineer specialising in React, Flutter, Node.js and distributed systems, with production experience across recruitment-tech, fintech and real-estate platforms, plus hands-on RAG/LLM research through my MSc in Computer Science.
I combine production engineering with applied AI/ML research, focusing on systems that are scalable, measurable and reliable.
- ⚛️ Frontend Engineering: React, TypeScript, modern component architecture, performance optimisation
- 📱 Mobile Engineering: Flutter (clean architecture, state management, production apps)
- 🌐 Backend Engineering: Node.js, Express, REST APIs, Microservices
- 🐍 Python: Used in production at Darviews Solutions (recruitment platform), plus MSc AI & MLOps coursework and dissertation work
- 🤖 AI & Machine Learning: Gemini API, RAG pipelines, agentic systems, model evaluation, optimisation, reproducible experiments
- 🧠 Caching & Performance: Redis / Redis-Stack (sessions, queues, rate-limits, caching)
- 🗄️ Databases: MySQL, MongoDB, PostgreSQL, Neo4j (coursework)
- ⚙️ DevOps & Cloud: Docker, Docker-Compose, Kubernetes, Ansible, Jenkins CI/CD, Nginx, AWS EC2
- 🔬 AI Research (MSc CS): Agentic RAG pipeline design and evaluation, LLM orchestration
A high-traffic recruitment platform processing 100,000+ applicants.
- Stack: React, Flutter, PHP/Mezzio, Python, Redis
- Highlights:
- Cut React page loads from ~30s to under 2s through rendering optimisation, pagination and lazy loading
- Reduced API response times from ~5s to under 1s using Redis caching and load balancing
- Owned the Slim-to-Mezzio migration end to end; mentored two junior developers
- Role: Team lead across a five-person engineering team, 2022–2025
A real-estate startup platform, Nov 2024–Aug 2025.
- Stack: React, Node.js, MongoDB/Firestore, Redis, Jenkins CI/CD, SonarQube, Docker
- Highlights:
- Restructured the Node.js backend from MVC to Clean Architecture for easier testing and delivery
- Used Redis caching to speed up data access
- Built a full Jenkins CI/CD pipeline: checkout, dependency install, tests, SonarQube analysis, Docker build, Linux VPS deployment with restart/rollback handling
- Role: Technical lead in a two-developer team
A mobile app digitising church resources for IRM Scotland.
- Stack: Flutter, Dart, WordPress-backed content
- Highlights: Onboarding and dashboard screens linking hymns and Sunday School materials to WordPress-hosted pages; published to the Apple App Store and Google Play
A retail management system.
- Stack: Node.js, MySQL, Redis
- Highlights: Inventory tracking, transactional integrity, caching
A multi-service financial platform.
- Stack: Node.js, Redis-Stack, MySQL, Docker
- Highlights: High-performance data access via Redis-Stack (shared caching approach with SpotShop), service isolation
A Flutter + Node fintech platform for airtime, data and gift-cards.
- Stack: Flutter, TypeScript/Express, MySQL, Redis
- Highlights: Paystack and Reloadly integration, JWT and Google OAuth via Passport.js, webhook handling and transaction verification
- Status: Open-source, 8 GitHub stars, 15 forks
- 🎓 MSc Computer Science — Glasgow Caledonian University (expected Distinction)
- 🧠 Dissertation: Agentic RAG for MLOps Pipeline Documentation and Troubleshooting — built and evaluated RAG pipelines (Llama 3.2/Ollama, ChromaDB, SentenceTransformers, Ragas) for Kubernetes/Docker/Jenkins documentation
- 📊 Coursework: Airbnb Utility Analysis — machine learning project on Airbnb listings data, using Pandas for data cleaning and feature engineering, then implementing Linear Regression and a Random Forest Regressor (Python, Jupyter)
- 🌉 Coursework: BridgeMMS — terminal-based bridge management system in Python (record management, inspection tracking and scheduling, JSON-based storage)
- 👨🏽🏫 Facilitator & mentor in grassroots tech education initiatives
- 💼 LinkedIn: https://www.linkedin.com/in/excelade/
- 📧 Email: adeniyiexcel@outlook.com
"Build systems that are clean, scalable, and useful, then make them better."
If you're building something interesting, I'm always open to collaborating.