حنانه سیادتی

My journey into the world of computer science began with a fascination for how machines can learn and make decisions. As I explored the field further, I became deeply interested in the applications of artificial intelligence—particularly in medical image processing and robotics.

Joining the Applied Deep Learning Lab at the University of Tabriz marked a turning point in my academic path. Since then, I’ve worked as an Undergraduate Research Assistant in the AI team of the RISC-V System Project, focusing on integrating deep learning models with hardware architectures under supervision of Prof. Mina Zolfy Lighvan. Through this experience, I’ve strengthened my expertise in machine learning, neural networks, and deep learning-based object detection.

Alongside my research work, I also gained valuable industry experience as a Frontend Developer Intern at Havazy, where I contributed to building modern, responsive web applications using React, Next.js, and Tailwind CSS. This experience allowed me to bridge the gap between AI research and software development, sharpening my technical skills while learning to design user-friendly and efficient digital systems.