Anonymized case study
Test automation for data-driven domain systems
Node.js connectors, around 1000 tests with domain experts, containerization, and parallel release testing.
View case studiesI build reliable software systems, make complex models understandable, and connect industrial engineering practice with physics, AI, and applied teaching.
I am most effective where software requires domain depth and well-founded decisions: complex systems, demanding tests, robust development processes, and clear technical communication. My background in physics with a focus on quantum optics still shapes how I work: formulate models carefully, question assumptions, take uncertainty seriously, and explain results in a way that supports better software, meaningful AI use, and effective teaching.
Short anonymized examples from projects where technical depth, domain understanding, and quality work come together.
since 04/2020
Software development, architecture, test automation, DevOps, and technical leadership for internal products and client projects, including statistics software, financial market data, and complex test frameworks.
07/2018 - 03/2020
Development and operation of SaaS applications on Azure and OpenShift, introduction of modern container and Scrum practices, and work on microservices for supply-chain applications.
11/2011 - 06/2018
Equipment integration in the semiconductor industry, development of equipment servers, integration test frameworks, CI processes, and customer-facing technical documentation.
I am open to fitting roles, technical collaboration, and conversations about demanding software projects and related initiatives.