Full-Stack Engineer | FastAPI, NestJS & Node.js Backend Specialist | GenAI & RAG Developer
Hello, I’m Ameer Hamza. I am a Software Engineer specializing in building secure, high-performance web ecosystems and custom AI applications using NestJS, FastAPI, and the MERN stack.
My engineering philosophy centers around three core pillars: architecture that scales smoothly, strict data security, and data-driven intelligence. I help businesses digitize manual workflows, optimize database layer speed, and integrate proprietary business data with Large Language Models (LLMs).
Why Me:
High-Reliability Backends: Proven track record of designing REST APIs and microservices using NestJS and FastAPI that maintain 99%+ uptime and system stability.
Production-Ready AI Integration: Experienced in designing end-to-end Retrieval-Augmented Generation (RAG) pipelines using LangChain and Pinecone vector databases to achieve highly accurate, data-aligned automation.
Optimized Database Architecture: Proficient in fine-tuning MongoDB, PostgreSQL, and MySQL, including crafting advanced database aggregation pipelines to slash API request latency.
DevOps & Automated Testing: I eliminate deployment surprises by containerizing ecosystems with Docker and achieving up to 99% test coverage with Jest frameworks.
Proven Engineering Results:
PrepifyAI Engine: Engineered a mobile application backend infrastructure utilizing FastAPI and React Native deployed on AWS to handle 1,000+ concurrent active users. Built a Pinecone RAG pipeline for semantic textbook chunking, achieving a 94% accuracy rate in automated question generation.
Jail Management System: Digitized legacy paper-based operations into a responsive MERN web application, improving administrative operational efficiency by 50%. Integrated Google OAuth 2.0 and rigid Role-Based Control (RBAC) to ensure total data isolation.
Dependency Health Analysis System: Built an automated dependency audit platform that reduced manual software vulnerability review time by 70% via an autonomous Python signal-processing layer, fully containerized using Docker for zero-downtime CI/CD.