Kenny Gozali

Kenny Gozali possesses a diverse background in software engineering, machine learning, and design, with experience spanning various sectors. As a Machine Learning Research Assistant at Friedrich Schiller University Jena, Kenny researched and developed reinforcement learning algorithms. An internship at neuroConn GmbH involved the design of a sensor array for medical devices, while a subsequent role at Xceptance centered on creating back-office functionality for an e-commerce website. Kenny's tenure as a Master Thesis Student at dotSource SE included extending a project framework to enhance code quality by 40%, followed by a position as a Software Engineer focusing on e-commerce solutions. Most recently, Kenny contributed to a project at Flax & Teal Limited, developing a platform for archaeological and historical monument data. Educational credentials include a Bachelor’s degree in Mechatronics, Robotics, and Automation Engineering from both Technische Universität Ilmenau and International University Liaison Indonesia, alongside a Master of Science in Computer Science from Friedrich Schiller University Jena.