Mehmet Bektas
About Mehmet Bektas
Mehmet Bektas is a Jupyter Distinguished Contributor and Core Developer at Project Jupyter, where he has worked since 2019. He has a diverse background in software engineering, having held significant roles at companies such as Splunk, Bloomberg, and Netflix, and he actively contributes to open source projects.
Current Role at Project Jupyter
Mehmet Bektas serves as a Jupyter Distinguished Contributor and Core Developer at Project Jupyter since 2019. In this role, he focuses on enhancing the capabilities of Jupyter's open-source tools, contributing to the development of data science resources that are widely used in the community. His work emphasizes high performance and scalability, which are critical for data-driven applications.
Previous Experience in Software Engineering
Prior to his current position, Bektas worked at Netflix as a Senior Software Engineer from 2022. He also held roles at Splunk as a Tech Lead and Principal Software Engineer from 2021 to 2022, and at Bloomberg LP as a Senior Software Engineer and Architect from 2016 to 2021. His experience includes a focus on developing innovative software solutions and mentoring other developers.
Educational Background
Mehmet Bektas studied Civil Engineering at Orta Doğu Teknik Üniversitesi (Middle East Technical University), where he earned a Bachelor of Science degree from 1999 to 2003. He furthered his education at the Georgia Institute of Technology, where he served as a Graduate Assistant from 2003 to 2004.
Contributions to Open Source Software
Bektas is an advocate for open source software and actively contributes to various projects. His contributions include the development of cross-platform data science tools that prioritize performance and scalability. He also mentors developers, sharing his expertise in full stack web applications, data visualization, and 3D graphics.
Recognition and Achievements
In 2021, Mehmet Bektas was recognized as a Distinguished Contributor by Project Jupyter for his significant contributions to the project. This recognition highlights his commitment to advancing open source initiatives and supporting the data science community.