Christian Safka
About Christian Safka
Christian Safka serves as the Head of Machine Learning at Tavus, where he has been responsible for growth and delivery since 2023. With over a decade of experience in software development and a focus on applied AI, he has held various roles at companies including Microsoft and STACC.
Current Role at Tavus
Christian Safka serves as the Head of Machine Learning at Tavus, a position he has held since 2023. In this role, he is responsible for the growth, roadmap, delivery, and iteration of machine learning initiatives. His work is conducted in a hybrid setting in the San Francisco Bay Area. This position builds on his previous experience at Tavus, where he was a Founding Engineer from 2022 to 2023.
Previous Experience at Microsoft
Christian Safka worked at Microsoft from 2018 to 2021, where he held two roles. Initially, he served as a Data Scientist for three years, contributing to various data-driven projects. In 2021, he transitioned to the role of Program Manager 2, where he worked for nine months. His tenure at Microsoft provided him with significant experience in data science and project management.
Experience at STACC
Prior to his time at Microsoft, Christian Safka worked as a Data Scientist at STACC (Software Technology and Applications Competence Center) in Tartu, Estonia. He held this position for one year, from 2017 to 2018. His role involved applying data science techniques to various software applications.
Software Development Background
Christian Safka has a decade of experience in software development, with a specific focus on applied artificial intelligence. His career includes various roles that emphasize his technical skills and expertise in developing AI-driven solutions. His experience spans multiple companies and positions, showcasing his adaptability and proficiency in the field.
Early Career at Adcanvas
Christian Safka began his career as a Software Developer at Adcanvas, where he worked for six months in 2016 to 2017. This early experience laid the foundation for his subsequent roles in data science and machine learning, contributing to his overall professional development.