👋 Hi, I’m Melody Amaizu (@lettaz) — an Artificial Intelligence Engineer and Full-Stack Developer passionate about building intelligent, human-centered systems.
💡 I love exploring how AI and software engineering intersect to create meaningful, data-driven applications that solve real-world problems.
🧠 My focus areas include LLMs, Retrieval-Augmented Generation (RAG), recommendation systems, super memory, LLM powered Automations and AI-powered interactive platforms.
🎓 I hold a strong foundation in Machine Learning, Software Evolution, and Human-AI Interaction, combining technical depth with creative problem-solving.
🌱 I’m continuously learning — diving deeper into DevOps practices, prompt engineering, and generative AI to push the limits of modern systems.
💞️ I enjoy collaborating on open-source and impact-driven projects in AI, education tech, and digital innovation.
- 🧠 Design and prototype AI-driven platforms using Python (FastAPI, LangChain, Streamlit) and JavaScript frameworks (Node.js, Fastify, Express.js) — from concept to production-ready prototypes
- 🧩 Architect LLM-powered systems and Retrieval-Augmented Generation (RAG) workflows using LangChain, ChromaDB, Pinecone, Weaviate, and Supabase for intelligent data retrieval and context-aware responses
- 🔍 Build data pipelines and machine learning models for analysis, personalization, and automation using scikit-learn, PyTorch, and Pandas
- 🕹️ Develop interactive, intelligent interfaces with Angular, React, and Spring Boot, integrating real-time data and generative AI capabilities
- ⚙️ Create efficient, modular backend systems leveraging Supabase, PostgreSQL, BullMQ, and REST APIs, with containerized deployments and test-driven development
- 🎨 Combine UX thinking with technical design using Figma and rapid prototyping workflows to craft smooth, engaging user experiences
- 🥇 Winner: AI for Connectivity Hackathon (UNICEF GIGA, 2025)
- 🧩 Case Winner: START Hack, UniSG (2025)
- 🚀 Projects: BizQuery 2.0 (AI Management Platform), AI Trivia Game, and Personality-Based Recommender System and more
- 📘 Focus Areas: Generative AI, Software Evolution, Privacy in RAG pipelines and Feedback-Driven Development