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Konstantinos Barmpas has extensive work experience in machine learning and software engineering. Currently, they are working as a Machine Learning Engineer at Cogitat, where they develop novel deep learning methods for EEG-based Brain Computer Interfaces. Prior to that, they worked as a PhD Candidate and Graduate Teaching Assistant at Imperial College London, specializing in machine learning. During their time there, they taught courses on Introduction to Machine Learning and Deep Learning.

Konstantinos also worked as a Data Scientist at Smart Power Networks, where they developed machine learning-based forecasting tools for energy data predictions. Additionally, they designed and developed the cloud infrastructure using Dockers and tools from Microsoft Azure.

Before that, Konstantinos founded The Mouse Team, where they researched and developed various original apps and worked with clients to create custom Android applications. Konstantinos also conducted their Master Thesis project in collaboration with Daedalean AI, focusing on certifying properties of deep neural networks.

Moreover, they gained experience as a Machine Learning / Software Engineering Intern at Facesoft, where they developed facial recognition technology on mobile devices. Additionally, they worked as a Mentor for the Self-Driving Car Engineer Nanodegree program at Udacity, providing guidance to students through 1:1 calls and weekly webinars.

Earlier in their career, Konstantinos worked as a Mathematics Undergraduate Teaching Assistant at Imperial College London, overseeing study groups and marking assignments.

Overall, Konstantinos Barmpas has a diverse background in machine learning, software engineering, and teaching, with a strong focus on practical applications and cutting-edge research.

Konstantinos Barmpas has an extensive educational background in the field of engineering and machine learning. Konstantinos first obtained a Bachelor's Degree in Electrical and Computer Engineering from the National Technical University of Athens in 2016. Subsequently, they pursued a Master of Engineering (M.Eng.) in Electrical and Electronic Engineering at Imperial College London from 2016 to 2020.

After completing their master's degree, Konstantinos pursued further education in the field of machine learning. Konstantinos enrolled in a Year Abroad program at ETH Zürich in 2019, where they earned a Master of Engineering (M.Eng.) in Information Technology and Electrical Engineering in 2020. Following this, they enrolled in a Doctor of Philosophy (PhD) program at Imperial College London in 2020, specializing in Machine Learning.

In addition to their formal education, Konstantinos has actively sought out additional certifications and participated in various programs and workshops to enhance their knowledge and skills. These include certifications such as Microsoft Certified: Azure Fundamentals, and participation in programs such as the BCI & Neurotechnology Spring School and the Oxford Machine Learning Summer School. Konstantinos also took part in several online courses and scholarship programs offered by organizations like Udacity and Facebook to further develop their expertise in fields like self-driving cars and artificial intelligence.

Overall, Konstantinos Barmpas has continually sought opportunities for learning and professional development in the areas of engineering and machine learning through their educational pursuits and additional certifications and programs.