Frontend Lead at Lufthansa Industry Solutions AS GmbH
Web Based Business Application
March 2022 - Today
I worked on a large-scale automotive project where our team built an application to process, enrich, and visualize a catalog of work operations, including logic to calculate aggregated time estimates for user-selected items. The solution runs within a distributed microservice landscape, handling high data volumes and providing curated data to other services, guided by Domain-Driven Design. I contributed as a full-stack developer across Angular & TypeScript, Java & Spring, and Python, and supported Docker-based deployments and CI/CD on AWS. My primary focus was the frontend, where I drove significant improvements over a predecessor solution using Angular and GroupUI. Taking over frontend responsibilities unexpectedly sparked a lasting enthusiasm for frontend engineering.
JavaJava SpringDockerAmazon Web ServicesAngularTypescriptPythonGroupUIDomain Driven DesignMicroservice ArchitectureCI/CDArtifical Intelligence

Personal
This Website
December 2025
This site is a portfolio-style showcase built to give recruiters and collaborators a glimpse into who I am, what I can do, and what I’ve worked on so far. It highlights some of my skills, past projects, and the technologies I’ve been learning, with a focus on clean structure and a modern, responsive UI. The site is developed with Next.js and TypeScript, using shadcn/ui components for a consistent component system and Tailwind CSS for fast, flexible styling. It also serves as a contact hub, making it easy to find and reach me via LinkedIn and GitHub (and possibly via an email form in the future). Since it was my first project with Next.js, I used AI to generate code snippets and achieve quick iterations.
Next.jsTypescriptshadcn/uiTailwindCSSAI








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Projects in my Computer Science Studies
Research Assistant: Health Data Analysis Dashboard
October 2015 - September 2021
Built a health data analysis dashboard to explore, clean, and visualize datasets in Python using Jupyter Notebooks, and packaged the workflow with Docker for reproducible runs.
PythonDockerJupyter NotebookOpenCVSimulationMachine LearningFace DetectionFace RecognitionPyBulletC++JavascriptC#VRAndroidJavaJavaFXGoogle-APIVueJSROSMQTTJava SpringWeb SocketsSQL