Nicholas Dimotakis
About Nicholas Dimotakis
Nicholas Dimotakis serves as the VP of Worldwide Field Engineering at Ubuntu, a position he has held since 2018. With a diverse background in engineering and management, he has contributed to various roles in technology companies, focusing on technical sales and service delivery.
Work at Ubuntu
Nicholas Dimotakis has served as the VP Worldwide Field Engineering at Ubuntu since 2018. In this role, he focuses on enhancing the technical capabilities of the company's field engineering teams. His responsibilities include enabling Global System Integrators' technical teams on Presales and Professional Services, specifically utilizing Canonical products such as OpenStack and Kubernetes. Prior to this position, he was the Head of Client & Partner Enablement for EMEA/APAC at Ubuntu Canonical from 2016 to 2018, where he contributed to client engagement and partner development.
Previous Experience
Before his tenure at Ubuntu, Nicholas Dimotakis held several significant roles in various organizations. He worked at InfoVista as VP Services EMEA from 2009 to 2013 and as Director of Services Operations from 2002 to 2009. He also served as Director of Presales Systems Engineering EMEA at SevOne for six months in 2016. His experience includes positions at Virtual Instruments and KPNQwest/Ebone, where he held roles related to services and project management. He began his career in the Hellenic Army as a Communications Sergeant.
Education and Expertise
Nicholas Dimotakis holds a Bachelor of Engineering (BEng) in Electronic Engineering and a Master of Science (MSc) in Biomedical Engineering, both from Imperial College London. His educational background provides a strong foundation for his expertise in engineering and technology, particularly in the fields of data infrastructure and machine learning. He has implemented various technical sales and delivery programs, including those involving technologies like Kafka, Postgres, and MongoDB.
Technical Contributions
Nicholas Dimotakis has made notable contributions to technical projects throughout his career. He delivered the first GPU-enabled TensorFlow environment running on bare-metal Kubernetes, aimed at enhancing machine learning and AI use cases. His work has focused on optimizing data infrastructure sales and delivery processes, ensuring they are repeatable and cost-effective. These contributions reflect his commitment to advancing technology solutions within the organizations he has worked for.