I'm a full-stack developer at Slalom specializing in building AI-powered web applications. I work with Azure AI tools and Retrieval-Augmented Generation (RAG) to deliver intelligent, scalable solutions. With experience as both a project leader and developer, I help connect business needs with technical innovation. I'm passionate about building innovative tools that create real value.
I bring both technical expertise and team-managing experience to teams. Over the years, I have gained experience in many different technologies. My main focus is on Full-Stack Web Development, AI, and Cloud Infrastructure.
Building modern, React.js apps with Tailwind, Shadcdn, Tanstack
Building scalable RESTful APIs in Python using FastAPI, Pydantic, SQLModel
Designing and Maintaining databases (SQL and NoSQL)
End-to-end development, testing, deployment
Azure Certified AI-102 AI Engineer Associate
Crafting modern agentic solutions in Azure
Building RAG solutions for semantic retrieval and chat apps
Implementing guardrails for safe and responsible AI integration
Designing scalable, cloud-orchestrated architectures on Azure usign IaC
Building robust CI/CD pipelines for automated testing & deployment
Leveraging containerization to build reusable, scalable applications
Scrum Alliance Certified: Advanced Certified Scrum Master
Understanding the client's needs and breaking them down into technical terms
Prioritizing work to ensure the right work is done at the best time.
Enabling teams to grow with the Scrum principles.
Strategic planning, anticipating challenges, and transparent communication.
Full-Stack web developer on various projects, such as a large-scale document management platform built on Azure infrastructure. Architecting and implementing RAG solutions using Azure AI and Vector Search to enable semantic querying. Integrating Generative AI models to automate information extraction and enhance document processing capabilities.
I started as a full-stack developer in Cognostics AG (later acquired by Cloudflight), developing a dockerized web app for use in hospitals, with Typescript and Python in a large scrum team. Since 2022, I orchestrated various projects as a project leader, in parallel to the role of developer.
As part of my master's thesis, I developed an automatic anomaly detection mechanism in the context of Amazon Web Services (AWS). Besides, I designed a reinforcement-learning reward function in Python with which our team won a local AWS DeepRacer Challenge
During an internship within my master's studies, I developed an Android application in Kotlin for evaluating EEG-measurements with a bluetooth headset. The project led to several publications² and the source code can be found on Github.
Over the course of three semesters during my bachelor's studies, I worked first as an intern and later as a working student in an agile Scrum team, contributing the development of a microservice-based cloud-architecture for road condition services. I developed a distributed testing-framework with Node.js, and contributed in the development of an AngularJS web app.
My studies covered a range of topics including computer science, with a focus on neural networks and AI, as well as neuroscience, Brain-Computer-Interfaces, scientific working methods, linguistics, and psychology.
My studies focused on software design, architecture, and development, along with customer-oriented planning, agile project management, and consultation. I specialized in Digital Transformation, with a focus on enterprise information systems, data analysis, and machine learning to optimize business processes.