Karl Emmanuel Zoa

I'm a cross-disciplinary engineer and consultant based in Berlin, with six years of professional experience building production systems at the intersection of data science, industrial IoT, and business transformation.

My career began in academic IoT research at TU Berlin, where I co-authored publications on federated learning for edge devices. From there, I moved through data engineering at a global food delivery platform, IoT systems at a European freight operator, and into data science leadership at a Logistics 4.0 technology company.

I'm equally comfortable designing an MQTT broker architecture, leading a stakeholder workshop on digital strategy, training a predictive maintenance model, and writing the documentation that makes all of it maintainable. That breadth is deliberate — and it's what makes me useful on complex, multi-dimensional projects.

I hold an M.Sc. in Computer Science (Machine Learning track) from TU Berlin and a B.Sc. in Electrical Engineering from KIT. I speak English, German, and French fluently.