Yannis Psorakis
About Yannis Psorakis
Yannis Psorakis is the Director of Engineering at Thought Machine, where he has worked since 2014. He has extensive experience in machine learning and engineering, contributing to cloud-native technology for core banking systems.
Work at Thought Machine
Yannis Psorakis has served as the Director of Engineering at Thought Machine since 2014. In this role, he has played a crucial part in leading engineering teams, contributing to the company's focus on developing cloud-native technology for core banking systems. His leadership has been instrumental in shaping the engineering practices and culture at Thought Machine, particularly during its early stages. The company is based in London, United Kingdom, and has made significant strides in the fintech sector under his guidance.
Education and Expertise
Yannis Psorakis has a strong academic background in engineering and technology. He earned a Doctor of Philosophy (D.Phil.) in Engineering Science from the University of Oxford, where he specialized in Machine Learning from 2010 to 2013. Prior to this, he obtained a Master of Science (MSc) in Information Technology from the University of Glasgow in 2009. His undergraduate studies were completed at the Technical University of Crete, where he achieved both a Bachelor of Engineering (B. Eng.) and a Master of Engineering (M. Eng.) in Production Engineering from 2001 to 2008.
Background
Before joining Thought Machine, Yannis Psorakis held a position as a Research Fellow in Mathematics at the University of Oxford from 2013 to 2014. He also gained experience as a Machine Learning Engineer and Research Visitor at DeepMile Networks, LLC in 2012. His diverse background spans both academic and industry environments, particularly focusing on machine learning and engineering.
Achievements
Yannis Psorakis has contributed to significant advancements in cloud-native technology aimed at transforming core banking systems. His work at Thought Machine has positioned the company as a leader in the fintech industry. His extensive experience in machine learning and engineering has enabled him to lead engineering teams effectively and drive innovative solutions in the financial technology sector.