Professional / Academic Experience
Leading agentic AI systems at a private equity firm: applying LLM and retrieval infrastructure to deal work that has mostly been done by hand.
Production machine learning and generative AI systems. Munich.
Backend, generative AI and DevOps — building software and processing data. Remote.
Deep Learning for Korali – implement, improve, verify and benchmark a deep learning framework for Korali
CSCS-USI Summer School since 2020 on Effective High-Performance Computing & Data Analytics with GPUs
GPU accelerated next generation approximate Bayesian inference using R-INLA
Student teaching assistant for the High Performance Computing Lab for CSE covering state-of-the-art HPC systems, scientific mathematical libraries and a special focus on CSE
Programming Techniques for Scientific Simulations I on basic and advanced C++ programming techniques and scientific software libraries.
Programming of a hybrid PoC mobile banking app solution. Integrating APIs (provided by Capital Banking Solutions) and implementing services s.a. authentication, favorites, QR-scanner and more.
Programming an automation tool for creating customized pdf offers using MuPDF.
Publications
D.Sevin, Staehlin, Pollak, Georg R., A. Kuehne and U.Sauer, Global Metabolic Responses to Salt Stress in fifteen Species, PLOS ONE, 11 (2016), pp. 1-21.
Education
Research Fellow CSE-LAB – Learning the effective dynamics of complex systems
With a focus on High Performance Computing, Machine Learning and Deep Learning
With a focus on Numerical Methods and Machine Learning
Biochemistry and Physics, before transferring to CSE
Relevant Coursework
ADDITIONAL EXPERIENCES
Advanced course on writing mature, robust, maintainable, high-quality C++ code by using different design strategies and the philosophy of “Modern C++”.
Exploitation of state-of-the-art hybrid High-Performance Computing (using Piz Daint Supercomputer) systems with a special focus on Data Analytics.
Clinical institute for medical and chemical laboratory diagnostics.