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Sebastian T. has a diverse and extensive work experience. Sebastian currently works as a Principal Software Engineer at FUJIFILM SonoSite, Inc. since 2017. Prior to that, they were a Senior Developer & Team Leader at ikeGPS from 2016 to 2017, where they played a critical role in developing the first Android SDK and OpenGL library for the company. From 2010 to 2016, Sebastian worked as a Project Lead/Principal Engineer at Performance Software, focusing on medical device projects and leading the development process for the iViz SonoSite Ultrasound device in Android. Sebastian also has experience as a Contract Software Engineer and Direct Software Engineer II at Astronics AES from 2007 to 2010, and as an Embedded Software Engineer Level 2 at BOEING from 2006 to 2007. Sebastian's earlier experience includes working as a Senior Software Design Engineer at BAE Systems from 2001 to 2006, and as a Network Technician/Administrator at Montclair State University in 2000.

Sebastian T. began their education in Duszniki Zdroj, where they attended middle school. After completing their middle school education, they moved on to Wayne Hills High School, where they studied from 1995 to 1998.

Following their high school education, Sebastian pursued a Bachelor of Science (BS) in Computer Science at Montclair State University. Sebastian attended Montclair State University from 1998 to 2001.

After completing their undergraduate degree, Sebastian T. continued their education at Binghamton University, where they obtained a Master of Science (MS) in Computer Science. Sebastian studied at Binghamton University from 2001 to 2006.

In 2013, Sebastian T. attended the University of Washington, where they earned an Android Application Development Certificate in 2014.

Additionally, Sebastian T. obtained several certifications related to machine learning and neural networks. In 2018, they completed courses in Convolutional Neural Networks, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, and Neural Networks and Deep Learning through Coursera.