My professional career began as a software engineer, where I laid the foundations for my current specialisation as an AI engineer and consultant. In my current role I focus on developing innovative AI solutions that are not only technically excellent but also create measurable business value. Direct contact with clients is a central part of my work. I value working closely with them to understand individual challenges and develop tailored solutions that are convincing both technically and strategically.
AI Engineering
& Consulting
My path to building innovative AI solutions
One of my greatest passions is applying modern technologies in combination with business goals. I see continuous development, learning new technologies and expanding my knowledge as essential. For me there is only one direction: forward. This attitude drives me to grow steadily, not only professionally but also personally.
What motivates me most is the connection between technical precision and entrepreneurial vision. Every new challenge is an opportunity for me to develop my skills while creating something meaningful. I firmly believe that progress is only possible through constant learning and development, and that is exactly the core of my professional journey.
bbv Software Services AG
Senior AI Engineer and AI Consultant
Fully dedicated to AI since early 2025: co-engineer of the Swiss AI Hub platform (agent runtime, RAG pipeline, evaluation, tracing), technical lead on client projects from workshop to MVP, pre-sales as technical expert, and more than 30 talks on LLMs, AI Agents, and AI infrastructure.
PythonFastAPIMCPLlamaIndexMilvusLangfuse
bbv Software Services AG
From .NET Development to Deputy Mandate Lead
Joined bbv as a Java engineer, switched quickly to the .NET stack. Multi-year client mandate in the utilities billing domain (Blazor, .NET, Azure), took on deputy mandate lead in 2023, promoted to Senior in 2024. Parallel co-leadership of the Data Science community and co-founding of the bbv AI team.
.NETBlazorAzureBicepCypress
Universität Zürich
Research Engineer in the Computation and Economics Research Group
Research in the Computation and Economics Research Group of Prof. Dr. Sven Seuken on neural networks and Bayesian optimisation. Refactoring the research codebase from a functional to an object-oriented style and building a reproducible experiment pipeline on a Slurm CPU cluster. Named in the acknowledgements of the publication «NOMU: Neural Optimization-based Model Uncertainty».
PythonTensorFlowKerasscipySlurm
PolygonSoftware
Founding My Own Software Startup
Co-founder of a software startup launched in 2019 during my studies at the Universität Zürich. Focus on innovative software solutions and a student-friendly work environment. After more than three years and significant growth I decided to leave the company and explore new directions.
Vue.jsAWSTypescript
TRACKTICS GmbH
TRACKTICS Desktop App for Data Synchronisation with the Trainer Box
Development and optimisation of the TRACKTICS desktop app with a focus on Wi-Fi error management, cross-platform deployment, and automatic updates for a smooth user experience.
JavaScriptVue.jsElectronZeplinTestRail
TRACKTICS GmbH
Internship: Detecting Jogging Sessions in Football Tracker Data
Algorithm developer for TRACKTICS tracking devices. Development of an algorithm for the automatic detection of jogging and football activities by analysing movement patterns. Integration into UNIX-based data pipelines to optimise the user experience and enable data-driven insights.
PythonJupyterDocker