I'm a full-stack developer at Slalom with a strong background in web development. I enjoy working with cross-functional teams to build high-quality software for our clients. With experience as both a project leader and developer, I help connect business needs with technical solutions. 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 web applications with React.js
Building RESTful APIs in FastAPI with Python
Seemlessly integrating databases, external services.
Developing AI-enhanced web applications
Implementing agentic workflows and multi-step AI reasoning
Natural language processing and text analysis
Implementing guardrails for safe and responsible AI integration
Experience with cloud platforms AWS and Azure
Designing and setting up scalable microservice architectures
Building 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 a large-scale document management platform leveraging Azure infrastructure. Developed complex business logic and integrated AI features to 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.
Area of studies: software design, architecture and development; customer-oriented planning; agile project management; consultation
Area of studies: computer science (neural networks, AI, neuro science, Brain-Computer-Interfaces), scientific working methods, linguistics, psychology.