Alexander Lenhardt
About Alexander Lenhardt
Alexander Lenhardt serves as the Tech Lead for Platform Integrations at Mimi Hearing Technologies in Berlin, Germany, a position he has held since 2021. With a background in software engineering and a focus on Brain-Computer Interface research, he has accumulated extensive experience in various technology roles across multiple companies.
Work at Mimi Hearing Technologies
Alexander Lenhardt has been serving as the Tech Lead for Platform Integrations at Mimi Hearing Technologies since 2021. In this role, he is responsible for overseeing the integration of various platforms, ensuring seamless functionality and user experience. His position is based in Berlin, Deutschland, where he has contributed to the company's mission of enhancing hearing solutions through innovative technology.
Previous Experience in Software Engineering
Before joining Mimi Hearing Technologies, Alexander Lenhardt accumulated extensive experience in software engineering. He worked at SoundCloud from 2015 to 2021 as a Software Engineer, focusing on various projects in Berlin and surrounding areas. Prior to that, he held positions at castLabs as a Software Engineer and Release Engineer between 2012 and 2015. His career began at Nokia, where he worked as a Software Developer on Qt Frameworks from 2011 to 2012.
Education and Expertise
Alexander Lenhardt holds a Ph.D. in Computer Science from the University of Bielefeld, where he studied from 2006 to 2011. He also earned a Dipl. Inform. in Computer Science from the same institution, completing his studies in 2006. His academic background includes specialization in Brain-Computer Interface research, with a focus on event-related potentials (ERPs), error potentials, and human-robot interaction utilizing augmented reality techniques.
Technical Skills and Specializations
Alexander Lenhardt possesses a diverse set of technical skills. He specializes in MPEG DASH, HLS, and SmoothStreaming technologies, and is proficient in cross-platform C++ development. His expertise extends to layered audio technologies, including Dolby, DTS, and AAC. He is experienced in using git for version control and Jenkins for continuous integration and delivery, and has a strong focus on Human-Computer Interfaces, data mining, and machine learning projects.
Research and Development Background
Throughout his career, Alexander Lenhardt has engaged in research and development, particularly in the fields of time-series classification and statistical machine learning. His academic and professional experiences have equipped him with a solid foundation in these areas, enabling him to contribute effectively to projects that require advanced analytical and technical skills.