Markus Gritsch

Led engineering of a holistic software suite for synchrotron beamline data: web UI, decoupled backend, IoT pipeline ingesting real-time X-ray/e⁻ detector output. Scalable microservices synchronized global teams, enabling rapid, precise analysis. Drove tech strategy, stack, and best practices, up-skilling team and delivering MVP that transformed lab data collaboration. Next: AI-driven predictive analytics and advanced data management for next-gen detector volumes.

Focused on tech I’m keen to master: built visual animations to clarify complex abstractions and capture env-property models; prototyped modern deployment/persistence in OSGi 7/8 with Docker, GraalVM Native Image, Neo4j/OGM; contributed to open-source (Millipede, JClouds, React, Framer-Motion, Fresnel…); explored ML with TensorFlow & PyTorch; deepened functional-programming practice, studied Rust, experimented with WebAssembly/WASI, and automated CI/CD via GitHub Actions.

Was one of the tech leads on Lighthouse, replacing every third-party tool in real-estate finance with software built from scratch: a cloud-native web platform spanning the full loan-origination pipeline. Using open-source frameworks, we built a real-time autonomous calc engine, secure APIs and modular services that turn slow, siloed tasks into decision-supported collaborative workflows, while a reactive UX speeds onboarding and lifts user satisfaction.