I consider myself a selective perfectionist and an avid lifelong learner who actively pursues and embraces new challenges to broaden my knowledge and refine my skills to the fullest extent possible, often with a playful approach. My lasting fascination with artificial intelligence, its profound impact on societal issues, and its potential for societal benefit runs deep—and likely always will. Therefore, I aim to contribute to a brighter future by sharing my insights with the computer vision & deep learning community.

Aug 2024 - Present
Copenhagen, Denmark
The LEGO Group is a Danish toy company renowned for its iconic interlocking plastic bricks, fostering creativity and learning through play.
Aug 2024 - Present

March 2023 - July 2024
Copenhagen, Denmark
The Alexandra Institute is a Danish non-profit R&D organization that transfers the latest IT research to businesses and the public sector, creating advanced and secure digital solutions.
March 2023 - July 2024
![]() 2020-2022 Msc.Eng. in Autonomous SystemsDescription:The study program in autonomous systems emphasizes designing and deploying intelligent systems that operate autonomously. It covers robotics, artificial intelligence, sensor networks, and ensures safety and reliability, preparing students for careers in autonomous vehicles, industrial automation, and related fields. Thesis:My master’s thesis focused on advancing autonomous outdoor navigation using innovative data-driven methodologies. By leveraging technologies like Lightweight OpenPose and ST-GCN, we achieved real-time analysis of video streams. Our work included successful implementation and testing, demonstrating feasibility in real-world scenarios. Additionally, we enhanced our system with gaze estimation and proximity measurement algorithms to improve robots’ situational awareness and decision-making capabilities. | ||
![]() 2015-2020 B.Eng. in Internet of ThingsDescription:The study program in Internet of Things (IoT) focuses on developing skills to design and implement interconnected systems that leverage sensors, actuators, and communication technologies. It covers IoT architecture, data analytics, security considerations, and prepares students for careers in smart devices, infrastructure management, and innovative IoT applications. Thesis:In this scientific research project, I utilized advanced techniques, including Generative Adversarial Networks (GAN), to create realistic synthetic images. This approach aimed to supplement a limited training dataset by generating additional data points, enhancing the reliability of subsequent models while maintaining high classification accuracy. |