
six-webcomponents
Enterprise · Design systemsA shared interface language for enterprise applications. A Web Component library built for consistency, performance, and scale at
.
I’m Stefan. I turn messy enterprise data into AI tools people can rely on—from the models underneath to the way it all gets shipped.
Explore my workI build software at the intersection of AI and enterprise data. At
, my work spans the full lifecycle: fine-tuning models, designing retrieval pipelines, setting up GPU infrastructure, and automating how it all gets shipped.
Alongside engineering, I’m beginning a part-time bachelor’s degree in Business Informatics at
. It’s drawing me toward the planning and delivery side: how work gets scoped, sequenced, and shipped as a team.

A few things I’ve helped build,
and ideas I’ve made real.
Helped build an AI chatbot for navigating large volumes of unstructured market guide data, replacing a rigid legacy tool and integrating it into the main customer-facing platform.
Contributed to an AI tool that drafts support email responses using enriched internal context, turning scattered information into a useful starting point.
Fine-tuning embedding and reranker models with synthetic QA data, supported by a regression evaluation pipeline that checks factual accuracy and tone.

A shared interface language for enterprise applications. A Web Component library built for consistency, performance, and scale at
.

A conversation that stays close to home. An LLM chatbot running locally in the browser with WebLLM.

Exploring a more natural way to interact. A voice-controlled assistant combining browser speech APIs with AI.

Making the flow of money easier to understand. A personal finance tool for budgeting and visualizing expenses.
Good software brings the parts together. From models and infrastructure to interfaces and team delivery.
Retrieval pipelines, embedding and reranker fine-tuning with synthetic QA data, and context-enriched AI tools. Evaluation pipelines use AI-based scoring to regression-test factual accuracy and tone.
Linux GPU servers, drivers, and vLLM for self-hosted models. GitLab CI/CD with self-hosted runners, OpenShift deployments through Helm and ArgoCD, firewall rules, and identity integration. Contributed to evaluating Azure for GPU workloads across cost, performance, and failover reliability.
Day to day, Kotlin, Spring Boot, Langchain4j, and Angular at
. A wider foundation in reusable interfaces, backend services, and web applications—from enterprise components to independent projects.
Increasingly involved in scoping and sequencing team workstreams, balancing infrastructure and product priorities. My part-time bachelor’s degree in Business Informatics at
is developing this interest in planning, team delivery, and project management.
Business Informatics at
.
AI and enterprise software at
.
Building a broader perspective, in parallel.
Bachelor’s degree
Developing the business and organizational perspective behind technical work, with a growing focus on planning, team delivery, and project management.
AI & enterprise data
Building AI-driven tools for enterprise data, from retrieval and model fine-tuning to evaluation, infrastructure, and deployment. Increasingly involved in scoping and sequencing team workstreams across product and infrastructure priorities.
Built a foundation across frontend, backend, mobile, and object-oriented programming. Delivered applications end to end—including a staff management tool and Spring Boot services on OpenShift—from requirements to release. Developed practical CI/CD, containerization, and machine learning skills while helping plan priorities and timelines.
Technical Berufsmaturität with a focus on mathematics, physics, and English, alongside a Federal Diploma in Computer Science, specializing in Application Development.
Have something in mind?