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Lukas W.
Master of science degree in Electrical Engineering and Information Technology at TUM
Professional Background
Lukas W. is a dedicated and skilled AI engineer currently contributing to the core conversion team at Recogni. In this cutting-edge role, he is focused on pushing the boundaries of artificial intelligence and its practical applications, particularly in the rapidly evolving domains of computer vision and data processing. With a solid background in electrical engineering and information technology, Lukas has established himself as an expert in the field of AI software engineering. His professional journey encompasses a rich tapestry of experiences in various esteemed organizations, providing him with a robust foundation in both theoretical knowledge and practical application.
Prior to his role at Recogni, Lukas worked with NavVis, where he specialized in deep metric learning for indoor visual positioning. This experience allowed him to delve into the intricacies of machine learning algorithms and their deployment in real-world scenarios, solidifying his expertise in AI engineering. Additionally, he has held several internships and student roles, including positions at TeleClinic and TUMCREATE, as well as working as a student at Infineon Technologies, which contributed to his understanding of the intersection between software development and hardware implementation in electronic systems.
Education and Achievements
Lukas's educational path reflects his commitment to excellence and innovation in engineering. He earned his Master of Science (M.Sc.) degree in Electrical Engineering and Information Technology with a remarkable grade of 1.3 from the renowned Technical University of Munich (TUM). This program equipped him with advanced knowledge and skills in areas pivotal to AI and technology.
Continuing his academic pursuits, Lukas attended the prestigious Georgia Institute of Technology, where he completed his Master's degree in Electrical and Computer Engineering, achieving an impressive grade of A. This experience not only enriched his understanding of electrical engineering but also broadened his perspective on technology and applied sciences in an international environment.
Earlier in his academic career, Lukas completed his Bachelor of Science (B.Sc.) in Electrical Engineering and Information Technology, again at TUM, with a commendable grade of 1.6. His educational journey commenced at Robert Bosch Gymnasium, where he completed his Abitur with a grade of 2.1, laying a strong foundation for his future studies in engineering and technology.
Key Skills and Expertise
Lukas possesses a diverse skill set that positions him prominently in the field of artificial intelligence and electrical engineering. His proficiency in AI software engineering is complemented by substantial experience in deep learning and computer vision, specifically in developing algorithms for metric learning, which is essential for applications in visual positioning.
In addition to his technical skills, Lukas is adept at collaborative teamwork and agile methodologies, having worked in various environments that require effective communication and project management. His background in multiple internships has honed his ability to adapt quickly to new challenges, making him a versatile contributor in innovative technology spaces.
Lukas’s passion for technology and commitment to advancing AI solutions are evident in his work and educational achievements, marking him as a rising star in the engineering community.
Achievements
- Successfully contributed to AI engineering projects at Recogni, focusing on core conversion tasks.
- Developed innovative algorithms for indoor visual positioning while working with NavVis.
- Gained hands-on experience in both software and hardware sectors during internships and student positions across various esteemed organizations.
- Maintained excellent academic performance throughout his education, demonstrating a consistent commitment to excellence in engineering.