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Prodromos Kampas has a diverse work experience in the field of embedded software and hardware engineering. Starting in 2016, they worked as a Junior Engineer at the Centre for Research & Technology Hellas (CERTH) until May 2017. Following that, they worked as a PCB Design Engineer for a short period of time as a self-employed individual. In 2017, they joined the Aristotle Space & Aeronautics Team (ASAT) - EUROAVIA Thessaloniki, where they were involved in the design and development of a rocket for a competition in the USA. Prodromos gained extensive experience in embedded software and hardware engineering during their time with the team until August 2019. Prodromos then joined NET2GRID as an Embedded Software Engineer from July 2019 to December 2021. During this time, they also completed their M.Eng. Thesis at Aristotle University of Thessaloniki (AUTH) between May 2018 and September 2019. In February 2022, they joined NET2GRID again, this time as an Embedded Systems Engineer. More recently, in November 2022, Prodromos started working as an Embedded Software Engineer at EVBox.

Prodromos Kampas completed their high school education at the 16 High School of Thessaloniki from 2010 to 2013, earning a High School Graduation degree. After that, they pursued further education and obtained a Master of Engineering (M.Eng.) in Electrical and Computer Engineering from Aristotle University of Thessaloniki (AUTH) from 2013 to 2019. Additionally, they have obtained several certifications, including "AI for Medical Diagnosis" from Coursera in August 2021, "Deep Learning Specialization" from DeepLearning.AI in June 2021, "Sequence Models" from Coursera in June 2021, "Convolutional Neural Networks" from Coursera in May 2021, "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from Coursera in April 2021, "Structuring Machine Learning Projects" from Coursera in April 2021, "Development of Real-Time Systems" from Coursera in March 2021, "Neural Networks and Deep Learning" from Coursera in March 2021, "Data Visualization" from Kaggle in January 2021, "Deep Learning A-Zâ„¢: Hands-On Artificial Neural Networks" from Udemy in January 2021, "Intermediate Machine Learning" from Kaggle in January 2021, "Intro to Machine Learning" from Kaggle in January 2021, "Pandas" from Kaggle in January 2021, "Python" from Kaggle in January 2021, "Cloud Computing Basics" from Coursera in December 2020, "Getting Started with AWS Machine Learning" from Coursera in December 2020, "Industrial IoT on Google Cloud Platform" from Coursera in December 2020, "SQL for Data Science" from Coursera in December 2020, "The Complete Self-Driving Car Course - Applied Deep Learning" from Udemy in December 2020, and "Machine Learning" from Coursera in November 2020.