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Yagmur Gulkanat has a diverse work experience in the field of engineering and technology. In 2011, they started their career as a Research Assistant at Istanbul Technical University, where they managed the High-Performance Computing Lab at the Informatics Institute until 2015. They then joined Materialise as a Research Engineer, focusing on implementing fully automated segmentation algorithms using Deep Learning methods in the Medical R&D field from 2015 to 2018. After that, Yagmur worked as a Software Design Engineer at TOMRA Food, where they contributed to software development until 2021. In the same year, they took on roles as a Machine Learning Engineer at dataroots and a Machine Learning Engineer Consultant at BICS. Yagmur Gulkanat's work experience demonstrates their proficiency in machine learning, software development, and research engineering.

Yagmur Gulkanat's education history is as follows:

Yagmur completed a Master of Science (MSc) degree in Computational Science and Engineering from Istanbul Technical University from 2011 to 2014.

Prior to that, Yagmur obtained a Bachelor of Science (BSc) degree in Mathematics from Ege University, where they studied from 2006 to 2011.

In addition to their formal education, Yagmur has obtained several certifications. These include certifications in Databases and SQL for Data Science, Deep Learning Essentials, Machine Learning with Python, Become a C++ Developer, C++ Best Practices for Developers, C++ Templates and the STL, Code Clinic: C++, Introducing Functional Programming in C++, Web Servers and APIs using C++, C++ Essential Training, Learning C++, Applied Data Science with Python - Level 2, Data Analysis Using Python, Data Visualization Using Python, and Python for Data Science. These certifications were obtained from institutions such as IBM and LinkedIn.

Furthermore, Yagmur is planning to obtain an AWS Certified Cloud Practitioner certification from Amazon Web Services (AWS) in January 2023.