Kris Bandurski
About Kris Bandurski
Kris Bandurski is a Senior Engineering Manager at Codility, where he contributes to technical strategy and mentors engineers. He has extensive experience in engineering leadership roles, particularly at Green Man Gaming, and runs an IT consultancy named Infernonet.
Current Role at Codility
Kris Bandurski serves as a Senior Engineering Manager at Codility, a position he has held since 2023. In this role, he is responsible for overseeing engineering teams and contributing to the technical vision and strategy of the company. He also mentors and coaches other engineers, supporting their professional development. His work focuses on enhancing the capabilities of the engineering department and ensuring the delivery of high-quality technical solutions.
Previous Experience at Green Man Gaming
Kris Bandurski has extensive experience at Green Man Gaming, where he held multiple roles over several years. He began as a Python Developer in 2010 for a brief period of two months. He then progressed to Senior Vice President of Engineering from 2014 to 2015 and later served as Executive Vice President of Engineering from 2015 to 2022. Additionally, he was a Team Leader from 2012 to 2014 and worked as a Senior Programmer/System Analyst in 2011. His tenure at Green Man Gaming spanned over seven years, during which he contributed to various engineering initiatives.
Education and Expertise
Kris Bandurski earned a Master of Science (MSc) in Computer Science from Bialystok University of Technology, where he studied from 1998 to 2003. He possesses expertise in several technical areas, including AWS, DevOps, CouchDB, and Git. This knowledge enables him to develop scalable and secure web applications and services. His educational background and technical skills support his roles in engineering management and consultancy.
IT Consultancy and Research Contributions
In addition to his roles in engineering management, Kris Bandurski runs an IT consultancy company named Infernonet. Through this venture, he provides technical guidance and support to various clients and projects. He is also an active researcher, publishing work in Neural Processing Letters. His research focuses on neural network training, differential evolution, and parallelization, contributing to advancements in the field of artificial intelligence.