Yasin Tunçer
R&D, AI and machine learning developer, and DevOps enthusiast. Passionate about leveraging technology to build innovative and high-quality solutions.
About
As an AI and Machine Learning Engineer, I focus on developing and implementing AI models and computer vision algorithms. I excel in creating and managing infrastructure, handling DevOps tasks, and integrating advanced AI-based tools. My expertise includes Python, C++, Pytorch, Docker, and Linux. I have worked on various projects such as Imagine, Repeater, Upscaler, and Archivist. I am always eager to learn new technologies and improve my skills, thriving in environments where collaboration and innovation are encouraged.
Work Experience
A.I.T
R&D Developer
Education
Bursa Uludag University
Bursa Technical University
Skills
Projects
Aitools
The AI Tools product suite includes a variety of AI-based tools tailored to the needs of the textile design industry. Users can generate new creative patterns with these tools.
Imagine
The Imagine tool, part of the AI Tools product suite, allow users to generate new creative digital textile design patterns.
Repeater
The Repeater tool, part of the AI Tools product suite, convert unaligned digital textile design patterns into seamlessly repeating patterns, making them ready for conventional printing.
Upscaler
The Upscaler tool, part of the AI Tools product suite, enhance low-quality digital textile design patterns into high-quality versions.
Archivist
The Archivist classifies huge textile pattern archives. It provides a web-based interface for previewing, filtering, and searching patterns, also AI-based image search, designed for textile designers and manufacturers.
Fabric Defect Detection
A real-time system that detects fabric defects before digital printing
Psd SDK
Multi-Channel file handler has been improved. The base project was forked from MolecularMatters/psd_sdk.