A Computer Science student and ex-Technology Developer Intern @ Barclays.
By day, Iβm a UK-based Computer Science student. By night, I explore GenAI, multi-agent systems and RAG architectures. I believe the right AI tools can turn one person into the output of an entire team. My mission: to make AI development accessible, move faster than traditional systems and push the boundaries of what's possible in technology.
- πΊ GirlCode Ambassador and IBM Exclusive Student Speaker
- π Currently building: Theia, a smart multi-agent RAG fraud intelligence system (and the foundation for future financial innovations)
- π± Learning: Multi-Agent Systems, Retrieval-Augmented Generation and MCP (Model Context Protocol)
- π¬ Ask me about: AI agents, no-code/low-code development and GitLab CI/CD
- π Languages: English and Mandarin Chinese (currently learning)
- π Interests: Formula One, travelling, networking, reading, volunteering and always learning something new
AI Match-Day Itinerary Planner for Luton Town FC supporters β½
A monorepo chat application that generates personalised match-day itineraries using 12 multi-agents running in parallel. Supports real-time pricing, group sharing, push notifications and live updates.
Tech Stack
- Frontend: Preact and Preact Signals, Tailwind CSS 4.1, Vite 7
- Backend: Hono.js, sql.js (pure JavaScript SQLite), TypeScript 5.9
- Database: sql.js with JSON file persistence
Theia - a smart multi-agent RAG fraud intelligence system
Built fraud intelligence platform using 5 specialised multi-agents with collaborative retrieval-augmented generation (MARAG). Features a 15-phase detection pipeline, multi-dataset benchmarking and comprehensive visualisation system.
- Tech Stack: Relevance AI, Preact (a lightweight alternative to React), TypeScript, Lucide-react, TailwindCSS, Vite
- Dataset: PaySim, Mobile Money Fraud Dataset, Credit Card by MLG-ULB
Developed a modular AI system for real-time transaction fraud detection using similarity retrieval, machine learning (ML) classification and artificial intelligence (AI) reasoning.
- Tech Stack: Python
- Dataset: PaySim, Credit Card by MLG-ULB
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Languages: Python, React, SQL, JavaScript, C#, Java
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Data Science & AI/ML: LangChain, LangGraph, Anthropic, Streamlit, FAISS
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DevOps & Cloud: GitLab, AWS, Docker
- LinkedIn: Oluwakemi
- GitHub: Tech Girl Diaries
- Blog: COMING SOON
Licensed under the PolyForm Noncommercial License - Commercial use is prohibited
Copyright (c) 2025 Oluwakemi Obadeyi




