Egemen Zeytinci is an Application Architect and seasoned machine learning engineer with nine years of experience building end-to-end ML solutions across fintech, logistics, and insurance domains. He has led teams and productionized models—from warehouse workload prediction and TOPSIS-based efficiency scoring to OCR, liveness detection, and residual-value forecasting—while building data pipelines and dashboards to close the loop on model impact. Comfortable across the stack, he combines Airflow-driven ETL, vector DBs (Milvus), LLM tooling (LlamaIndex, vLLM), and React/Streamlit frontends to turn prototypes into operational products. Colleagues rely on him for clean, maintainable code and practical performance improvements such as daily-update models and outlier-stable predictions. Based in Istanbul, he brings a pragmatic blend of hands-on engineering, cross-functional collaboration, and a curiosity for applying prompt engineering and retrieval systems to real business problems.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Sakarya University
Machine readable zone reader on ID cards https://pypi.org/project/readmrz
Contributions:54 commits, 11 PRs, 13 pushes in 9 months
machine-readable-zonezonemrz-scannerpythonpip
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.