Frank Zickert
CTO at Ihr MPE B+C GmbH
Berlin Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolFrank Zickert is a seasoned technology leader and CTO based in the Berlin area, combining two decades in IT with a PhD in Information Systems to bridge research, architecture and product delivery. He has led teams and products across banking and automotive clients, translating complex domain requirements into data-driven software and scalable architectures. His background spans hands-on software development, data science and project management, with senior roles at Deutsche Bank and Aperto before taking executive technology leadership at Ihr MPE B+C. Known for integrating academic rigor into pragmatic engineering, he helps organizations adopt evidence-based approaches to software and analytics. Frank’s cross-disciplinary education—from computer science through banking and a PhD—gives him a rare fluency in both technical implementation and financial domain nuance. Colleagues value his ability to move projects from research prototypes to production-grade systems while keeping teams aligned on business impact.
8 years of coding experience
13 years of employment as a software developer
Master of Science - MS Banking & Management, Master of Science - MS Banking & Management at Frankfurt School of Finance & ManagementDoctor of Philosophy - PhD Information Systems, Doctor of Philosophy - PhD Information Systems at Goethe University FrankfurtAbroad Information Technology, Abroad Information Technology at Victoria University of Wellington
German, English
Stackoverflow
63reputation
8kreached
1answer
3questions
Github Skills (62)
typescript8
react-component8
electron7
lambda-functions7
lambda7
aws-lambda7
jupyterlab-extension7
eclipse6
flann6
serverless6
react6
multi-tenant6
android-studio6
nodejs6
android6
Programming languages (3)
Github contributions (5)
quantum-machine-learning/pyqml
Sep 2020 - Jul 2021
Contributions:3 commits, 5 pushes, 1 branch in 9 months
quantum-machine-learning/pyqml-lab
Oct 2024 - Jan 2026
A JupyterLab environment to get started with Quantum Machine Learning in no time
Contributions:3 releases, 4 pushes, 1 branch in 1 year 3 months
jupyterlabmachine-learning
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