I'm Onuralp, a seasoned Senior Software Engineer Team Lead with expertise in Python, Kotlin, C++, and Rust. My passion lies in the dynamic fields of Computer Vision, Machine Learning, Deep Learning. I am a long term Fedora Contributor,Fedora KDE SIG Member and others roles at Fedora Project. I am also an organizer at GDG Samsun and speaker related around Machine learning and Computer Vision. Professionally, I use Python development on backend side of works and on mobile side I used Kotlin and Flutter with Google technologies. ML sides I used Tensorflow, Tensorboard, Keras, Jax, Pytorch. In addition to my diverse skill set, I am actively contributing to a computer vision project named Supervision. Supervision is dedicated to crafting reusable computer vision tools tailored to a wide array of needs. This project embodies my commitment to advancing the field of computer vision, offering robust solutions that empower developers and researchers alike.

Onur Can Karaman is an industrial applications leader with a strong focus on digital transformation, artificial intelligence (AI), and the Internet of Things (IoT). Currently at Digitheta, he leads digitalization projects for manufacturing enterprises, driving innovation in operational efficiency and data-driven decision-making. Previously, he served as the Digital Technologies Specialist. He played a key role in promoting digital capability development across the industrial sector. With a solid background in lean manufacturing.

As a certified digital transformation consultant trained through a national-level program, Onur has experience in assessing digital maturity and designing strategic roadmaps for industrial companies. His technical interests lie in deploying large language models (LLMs), computer vision, and AI-powered solutions such as predictive maintenance, anomaly detection, and digital quality control.

He is also a contributor to open-source projects, including OpenCV, reflecting his commitment to collaborative innovation and continuous learning.