Dandori
Building a mobile-first student productivity app from the ground up with React Native and Expo. Designing and implementing core features for class planning, study session management, and academic goal tracking.
Software Developer
Software developer and Computer Engineering student with a portfolio of self-built, production-deployed applications. Proficient in React.js, React Native, Vue.js, JavaScript (ES6+), HTML5, and CSS3. Experienced integrating REST APIs, designing component-based UIs, and shipping apps to real users all independently.
Frontend engineering intern at AETECH Research Labs, Abuja (Sep 2025 – Apr 2026).
Built and maintained web interfaces using React.js and TypeScript. Used TypeScript to improve code reliability and reduce runtime errors. Implemented responsive UI components with Tailwind CSS and translated design mockups into functional web pages.
B.Eng Computer Engineering @ Bells University of Technology, Ogun. – In view
Coursework in Data Structures, Computer Systems, and Programming Fundamentals. Building production-deployed applications alongside studies.
8+ projects built and deployed independently.
Emora (AI chatbot, live at emoribot.vercel.app), Litmus (AI vector search), Dandori (React Native productivity app), StrideForge (fitness tracker), Yale School of Arts clone, Anime Discovery, and more. Every project shipped to real users.
Building a mobile-first student productivity app from the ground up with React Native and Expo. Designing and implementing core features for class planning, study session management, and academic goal tracking.
An open-source FlutterFlow alternative focused on faster app development with a dark, prompt-driven interface.
Siri-style Bun assistant with a glass-and-ember interface for fast, conversational workflows.
Built and shipped a conversational AI web app with real-time chat UI, auto-scroll, Markdown rendering, and toast notifications using Vue's Composition API. Integrated OpenRouter API with dynamic prompt generation across four personality modes and localStorage-based memory persistence.
Built a semantic search engine using Python and FastAPI with vector embeddings via fastembed. Features novelty and popularity scoring, ranked result filtering, and a clean REST API — deployed and serving real queries.
A fitness tracking landing page and dashboard built with vanilla HTML, CSS, and JavaScript. Features workout logging, progress visualization, and a fully responsive design across devices.