Johan Norlinder

Johan Norlinder is an accomplished Machine Learning Engineer currently at Huddly, where responsibilities include creating and training models for camera applications, focusing on direction of arrival, speaker diarization, and voice activity detection. Prior experience includes a role as a System Engineer at Studix, contributing to the development of backend systems for an education platform, and as a Data Scientist at NEP Group, Inc., where integration of AI/ML solutions and data analysis were key tasks, including applications like speech recognition and action recognition in sports. Additional experience as a Technical Assistant at sensiBel involved algorithm evaluation and measurement tasks aimed at enhancing microphone array performance. Johan holds a Bachelor's degree in Signal Processing and Electronics and has completed master's courses at the University of Oslo.