Hello there! I'm Lars Heimann, an Information Systems scholar at the University of Münster with a strong academic track record and relevant practical experience. 

Just this past winter, I spent six months studying abroad in Australia at the Griffith University at their Gold Coast campus. There I explored courses in Psychology, Consumer Psychology, and Microeconomics, broadening my understanding of user-centric design and market dynamics.

Currently, I work as a data science intern specializing in Large Language Models at viadee consulting. Here, I develop RAG systems for structured Entity Extraction from unstructured texts with over 80% accuracy. 

Previously, I was a working student at zeb a leading financial services consultancy. There, I helped developed the CI/CD pipeline for a cloud-native SaaS for the financial sector. Some technologies I worked with every day include: Kubernetes, Terraform, Docker, AWS, Helm, and GitLab. During an Internship in the summer of 2023, I engineered a protocol to efficiently rotate Trust Anchors in a PKI on a Kubernetes Cluster, using Cross-Signed Certificates to enhance uptime.

At the start of my studies, I worked at Best Practice Consulting, developing a notification system for an interface framework in SAP ABAP.

Apart from my academic and professional endeavors, I'm a proud scholarship recipient from the German National Academic Foundation (Studienstiftung des deutschen Volkes), representing the top 5% of German students.

In my spare time, I lead multi-day horse riding treks at Reiterhof Hirschberg and volunteer with the Care and Travel Initiative to bring students and seniors together. As a hobbyist marathon runner, I take part in events across Münster, Dortmund, and Berlin.

I'm always open to new learning experiences and am eager to continue growing in my field. Currently, I am especially keen on learning more about how to utilize the power of the cloud to derive actionable insights from data.