Amir Hossein Hasanzadeh

As a backend software engineer, I've always been drawn to the elegant logic of building systems that scale effortlessly, turning raw code into tools that solve real-world puzzles—like crafting APIs that power public transport for thousands or automating AI feedback in edtech platforms. My journey started in 2019 with freelance Python projects, scripting web scrapers and Telegram bots that streamlined client workflows, before evolving through hands-on internships at Saafaa on smart irrigation systems and a key role at Yazd Municipality, where I designed RESTful APIs to automate bus scheduling and collaborated on GIS-driven features for urban efficiency. Since March 2025, in my part-time remote role at Speid, I've dived deep into microservices with Python and Docker, implementing event-driven NATS Pub/Sub for seamless service integration, pioneering AI-based assessment tools for instant user evaluations, and refactoring legacy code alongside the CTO to enhance reliability and performance—all while focusing on robust logging, testing, and maintainable architectures that make development smoother. What keeps me hooked on software is its endless depth: from dissecting blockchain data in my Sharif University Master's thesis, where I built custom crawlers, cleaned datasets, and applied semi-supervised machine learning to predict ICO success with limited labels, to tinkering with open-source like my Django Unified Response package for consistent API handling or personal ventures like a MongoDB-powered full-text search engine. Beyond the keyboard, I'm fascinated by the intersections of fintech and edtech, always exploring how thoughtful design patterns and methodologies can drive innovation, and I'm excited to bring this blend of curiosity and technical grit to remote teams pushing boundaries in scalable, impactful projects.