ائلیار کردکتول

My journey into computer science began in high school, driven by curiosity about how intelligent systems learn from data. Over time, that curiosity evolved into a deep passion for artificial intelligence and hardware–software co-design.

I’m currently pursuing my B.A. in Computer Engineering at the University of Tabriz and working as a research assistant at the Applied Deep Learning Lab under supervision of Prof. Mina Zolfy Lighvan. My research focuses on optimizing lightweight neural networks for hardware acceleration, as part of our project on the Co-Design of AI Models and RISC-V Architecture for Efficient Object Detection.

Previously, I gained industry experience as a backend development intern at Husan, where I contributed to developing scalable systems. My broader interests include deep learning efficiency, AI model compression, and hardware-aware neural network design — especially where performance meets practicality.

Skills

Python, Java

NumPy, Matplotlib, Pandas, TensorFlow, Keras, OpenCV

Machine Learning: Classic Supervised and Unsupervised algorithms

Neural Networks: Image Processing, Image Classification, Object Detection

Web Frameworks: Django

Competitive programming: Algorithms and Data Structures, Python