Summary
Uğur İpekdüzen is a machine learning–focused software engineer with nine years of experience building practical AI solutions and production-ready tools. He has hands-on experience in deepfake and fraud detection research, deploying academic models via Docker and shipping a FastAPI-based Deepfake Scanner during an R&D internship. His background spans computer vision projects (including a Python/OpenCV license-plate recognition system) and full-stack web development using ASP.NET MVC, Bootstrap, and MSSQL. More recently he worked as an AI Engineer and is an active member of a national AI association in Türkiye, reflecting both applied engineering and community engagement. He combines research-minded experimentation with production deployment skills, often bridging academic codebases to usable APIs and services.
9 years of coding experience
3 years of employment as a software developer
Lisans Derecesi, Bilgisyar Mühendisliği, 3.40, Lisans Derecesi, Bilgisyar Mühendisliği, 3.40 at Yalova Üniversitesi
Bachelor's degree, Bachelor's degree at University of Szeged
İngilizce, Turkish, German