Nick Lekkas
About Nick Lekkas
Nick Lekkas is a Computer Vision Engineer at Seervision AG, specializing in object detection and machine learning. He has a Bachelor's degree in Computer Science from Ethnikon kai Kapodistriakon Panepistimion Athinon and has worked in various engineering roles across Europe.
Work at Seervision
Nick Lekkas has been employed at Seervision AG as a Computer Vision Engineer since 2021. In this role, he focuses on developing advanced computer vision solutions. His responsibilities include utilizing his expertise in object detection, pose estimation, object tracking, and re-identification. He employs tools such as PyTorch and OpenCV to enhance the capabilities of the company's products.
Previous Experience in Computer Vision and Machine Learning
Prior to his current position, Nick worked at up2metric as a Computer Vision & Machine Learning Engineer from 2020 to 2021. His role involved applying machine learning techniques to solve complex problems in computer vision. He gained valuable experience during this year-long tenure in Athens, Greece.
Education and Expertise
Nick Lekkas earned a Bachelor's degree in Computer Science from Ethnikon kai Kapodistriakon Panepistimion Athinon, where he studied from 2016 to 2020. His education included coursework in Artificial Intelligence, Computer Graphics, Machine Learning, Data Mining, Parallel Programming, and Object-Oriented Programming. He also developed self-taught skills in JavaScript, C#, and HTML, complementing his formal education.
Internship and Early Career
Nick gained early career experience as a Youth Intern at SEEDIG - South Eastern European Dialogue on Internet Governance from 2018 to 2019. This internship took place in Bucharest, Romania, and lasted for five months. Additionally, he worked as a Software Engineer at Atypon for three months in 2019, further building his technical skills.
Technical Skills and Tools
Nick Lekkas is proficient in using Docker, Git, and Linux for development and deployment tasks. His technical skill set is focused on computer vision applications, particularly in object detection, pose estimation, and related areas. He has a strong foundation in programming and software development, supported by his educational background and professional experiences.