Corvin Jaedicke is a Berlin-based co-founder and deep learning specialist with 11 years of experience focused on audio intelligence for predictive maintenance and music analysis. He co-founded ai-coustics after leading acoustic fault-detection work at DB Systel, applying TensorFlow-driven models for escalator and mechanical-step monitoring. As a lecturer at Technische Universität Berlin he designs and teaches "Deep Learning for Audio Event Detection," bridging research and applied engineering. His background spans embedded sensor-node prototyping and IoT connectivity, giving him uncommon end-to-end expertise from microcontrollers to production ML. Passionate about audio, he pairs a top-graded MSc in Audio Communication with hands-on startup and accelerator experience to translate signal-processing research into real-world products.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Audiokommunikation und -technologie, 1.0, Master of Science - MS, Audiokommunikation und -technologie, 1.0 at Technische Universität Berlin
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Corvin Jaedicke - Co-Founder at Technische Universität Berlin