I'm a Computer Science & Engineering student at AIUB who works across the whole stack — designing the interface, building the API behind it, and modelling the data underneath.
My interests are full-stack development, backend engineering, and AI-integrated applications. I build native Android apps in Kotlin and am currently expanding into React Native for cross-platform work. My research interests are Machine Learning, Natural Language Processing, and Large Language Models.
- 🚀 Building full-stack web applications with Next.js, NestJS, and FastAPI
- 📱 Developing native Android applications in Kotlin
- 📲 Learning React Native for cross-platform mobile development
- 🤖 Integrating LLM APIs into real product features
- 🧠 Training deep learning models for image classification with TensorFlow/Keras
- 📚 Practicing Data Structures & Algorithms
Accepted Intelligent Waste Classification for Sustainable Urban Development: A MobileNetV3-Based Deep Learning Approach Using the BDWaste Dataset Al Amin Hossain Nahid, Ferdus Hossain, Tariful Islam Fahim, Salman Zzoha International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII 2026) 📂 Code
| Project | Description | Stack |
|---|---|---|
| MessMasterApp | Native Android app for shared-living meal tracking, expenses, and utility billing | Kotlin, MVVM, Retrofit |
| MessMasterApp_Backend | REST API with role-based JWT auth, rate limiting, and a normalized relational schema | NestJS, PostgreSQL, TypeORM |
| AI Chat · 🔗 Live | Full-stack AI chat with persistent multi-conversation history | Next.js, Prisma, Gemini API |
| Portfolio · 🔗 Live | Personal portfolio site | Next.js, TypeScript, Tailwind |
🔗 https://alamin-nahid.is-a.dev
"Building software that solves real-world problems."