Heran Eshetu

I am an AI-focused software engineer with a growing specialization in building intelligent, real-world applications by integrating machine learning models into scalable systems. I am particularly interested in applied AI, including areas like audio-based emotion recognition, and I focus on making models practical, efficient, and ready for real-world use. My work involves understanding model behavior, handling data, and designing systems that allow AI components to integrate smoothly with user-facing applications.

Alongside this, I am a mobile software engineer specializing in Flutter, where I build scalable and maintainable applications using Clean Architecture and modern state management solutions like Riverpod. I have developed real-world applications and handled end-to-end features, from UI implementation to backend integration.

I am also comfortable working across the stack, with experience integrating REST and GraphQL APIs and collaborating with backend systems built using Node.js and NestJS. I focus on writing clean, efficient, and well-structured code, ensuring performance, reliability, and a strong user experience.

What differentiates my profile is my focus on combining AI with solid software engineering. I aim to bridge the gap between machine learning models and production-ready applications, building systems that are not only technically sound but also useful in practice. I am continuously learning and improving my skills in AI and software development, with the goal of delivering intelligent, scalable, and impactful solutions.