Cevahir Canbolat

As a dedicated software engineer with a strong background in simulation and data analysis, I have been self-employed since January 2021, where I developed a Discrete Event Simulation model for freight logistics using SimPy. This project enabled data-driven optimization of transport flows, showcasing my ability to leverage technology for practical solutions. Additionally, I utilized PyTorch to prototype deep learning models, enhancing the quality of input data for simulations.

Prior to my self-employment, I worked at Infineon Technologies as a Simulation and Reporting Expert, where I led the development of a semiconductor manufacturing simulation engine. My role involved overcoming technical and intercultural challenges while collaborating with teams across Singapore, Malaysia, and Germany. I also served as a Tableau Key User, supporting dashboard development and data visualization, which significantly improved manufacturing insights.

My earlier experience includes working as a Software Engineer at Force Net GmbH, where I designed and developed a C++/Qt-based software platform for real-time analysis of manufacturing data. My technical leadership and stakeholder coordination ensured the delivery of scalable solutions that met organizational needs. I am passionate about using my skills to drive innovation and efficiency in technology-driven environments.