Software Developer | Tech Enthusiast | Aviation Geek
Hi there! I'm a developer who loves building practical, high-impact software. My work ranges from full-stack web apps to systems engineering and data science. I'm especially passionate about applying technology to aviation, education, and creative fields.
I enjoy working across the stack, from low-level systems to modern web architectures.
| Category | Skills |
|---|---|
| Languages | C++, Java, TypeScript, C, Python |
| Web Development | Next.js, React 19, NestJS, Tailwind CSS, Drizzle ORM |
| Aviation Systems | EuroScope Plugin Development, A-CDM logic, Glass Cockpit Architecture |
| Data & AI | OpenAI/Gemini Integration, RAG (Retrieval-Augmented Generation), Scikit-learn, TensorFlow |
| Tools & Platforms | Neon, PostgreSQL, Firebase, Cloudinary, Git, CLI Tooling |
- VCLvACDM: A comprehensive VATSIM virtual Airport Collaborative Decision Making (A-CDM) system for the VCLvACC (Vietnam Cambodia Laos virtual Area Control Center). It includes a custom C++ EuroScope plugin, a NestJS/Neon PostgreSQL backend, and a real-time Next.js dashboard.
- EchoRoute: A Realistic UI architecture built with Next.js, designed for interactive routing and navigation visualization.
- Pseudocode Compiler: A Python-based interpreter and executor for the specific pseudocode language used by CAIE, featuring keyword parsing and logical execution.
- HistoriArt: An immersive multimedia eBook platform for Vietnamese history. It features an AI-driven tutoring companion ("Fable") using RAG-based context awareness and high-fidelity media rendering. Built for VinFormation 2026.
- LitCompanion: An eBook reader integrated with an AI companion to guide you through the story. Built for LotusHacks Hackathon 2026.
- Sign Language Translator: A computer vision system using deep learning to translate sign language gestures into text in real-time.
- Flood Awareness System: A data-driven monitoring platform designed to provide early warnings and analysis for flood-prone regions.
- Rain Prediction System: A machine learning model utilizing environmental datasets to predict precipitation patterns with high accuracy.
When I'm not coding systems, I'm exploring creative ways to use technology.
- Photography Portfolio: A clean, high-performance gallery for my photography. Built with Next.js, it features optimized image delivery via Cloudinary and stores EXIF metadata in Firebase Firestore.
- Photo CLI: A custom-built CLI tool I created to automate photo processing, EXIF extraction, and cloud synchronization for my portfolio.
- Music Production: I also experiment with audio engineering and live stage production design.
- Aviation: I'm an avid fan of flight operations and aerospace systems, which is the root of many of my technical projects.
I'm always open to discussing new ideas or collaborating on interesting projects.
- Email: nhathuyphan.1903@gmail.com
- GitHub: github.com/LucaasPhan
Thanks for stopping by! I'm constantly learning and building, so stay tuned for more.