Amjad Saadeh is a Berlin-based video processing specialist with 11 years of cross-domain experience in image processing, digital signal processing and machine learning. He currently drives video processing initiatives at Sennheiser (since 2023), building robust pipelines and real-time processing for professional audio-visual workflows. His prior roles at CARIAD involved embedded AI for automotive applications (C++, TFLite, QNN, AzureML/MLOps), including model conversion for Qualcomm SoCs and mentoring teammates, with some product owner responsibilities. Earlier positions at Leica Microsystems, Carmeq, medneo and Siemens showcase a strong track record in computer vision, ADAS, radiology imaging and infrastructure development (CI/CD, Docker, Python, OpenCV, DirectX). He combines hands-on engineering with a strategic mindset—helping design AI-native workflows, timeseries data management, and AI planning within large organizations like VW Group. Based in Berlin and educated at Freie Universität Berlin, Amjad frequently seeks cross-domain insights to tackle ill-defined problems and turn research ideas into deployable solutions.
11 years of coding experience
7 years of employment as a software developer
1,5, 1,5 at Freie Universität Berlin
Bachelor of Science - BS, Physik, Kein Abschluss, Bachelor of Science - BS, Physik, Kein Abschluss at Technische Universität Berlin
Bachelor of Science - BS, Angewandte Informatik, Kein Abschluss, Bachelor of Science - BS, Angewandte Informatik, Kein Abschluss at Duale Hochschule Baden-Württemberg
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