📍 Geneva, Switzerland | 🔬 Systems researcher and entrepreneur | 🎓 EPFL → MIT → MPI-SWS
Leading the Data Systems Group at MPI-SWS, working at the intersection of systems, databases, and machine learning. Building infrastructure for the next wave of AI — beyond single models, into agentic systems and massive-scale data.
- 🛡️ scode – Safe sandbox wrapper for AI coding harnesses — keeps your keys, credentials, and personal files out of reach
See also: mpi-dsg for more research prototypes.
- 🌊 X-Stream – Edge-centric graph processing using streaming partitions
- 🌀 Chaos – Scale-out graph processing from secondary storage
- ⛈️ Hailstorm – Disaggregated compute and storage for distributed LSM-based databases
- 🌪️ Hurricane – Taming skew in large-scale analytics
- 🔮 Tesseract – Tesseract implementation in Python
- 🗃️ Loki – Generate databases from high-level workload statistics
- Agentic AI Infrastructure – Building systems that let AI agents operate at scale
- Cache Saver – LLM inference optimization framework
- Code Intelligence – SQL-of-Thought, LoRACode — teaching models to reason about code
- LLM-Enhanced Databases – Rethinking query processing with learned components
- Teaching – Operating Systems, Distributed Systems, and Systems for LLMs at University of Saarland
"Understand the system before you optimize it." — I build data systems that scale, teach machines to reason about code, and believe the best research ships as real software.
- Always at the intersection of research and startups, one way or another
- PhD at EPFL, postdoc at MIT CSAIL, now group leader at MPI-SWS
- Swiss Armed Forces veteran (IT Pioneer / Chief of Staff)
- Passionate about bridging the gap between systems research and production infrastructure