01
Decode before building
Complexity should not be hidden behind interfaces. Good tools make the system easier to understand.
Aviation · Data · Technology
Making aviation systems easier to understand.
I build aviation-focused digital products, simulations, and data tools that make complex operational decisions easier to understand, test, and improve.
Zürich · ZRHAirline ITData ProductsSimulationDecision Support
About
Decoding the systems behind flights.
My background combines airline IT, business analysis, project leadership, and data science. I am especially interested in the hidden systems behind passenger journeys: seating, re-accommodation, connection handling, operational decision support, and the digital tools that help airlines make better decisions.
For over eight years I have worked on passenger systems at SWISS and across the Lufthansa Group, driving Amadeus PSS and seating initiatives, building a cloud-native pre-seating tool, leading disruption recovery and intermodal travel initiatives, and establishing data governance for the Operations Decision Support Suite (OPSD) in the cloud.
Alongside this I hold an MSc in Applied Information and Data Science, with a thesis on predicting critical passenger connections using machine learning, and I am currently deepening airline strategy through the DAS in Global Air Transport Management at the University of St. Gallen and IATA.
AviationDecoded is my personal platform to explore these topics through practical side projects, simulations, prototypes, and written analysis. The goal is simple: decode complex aviation problems and turn them into tools people can understand, test, and use.
Aviation is also how I have come to see the world. So far that adds up to 56 countries, more than 99 airports, and over 49 airlines.
- 56
- Countries visited
- 99+
- Airports flown through
- 49+
- Airlines flown
Flight map
Every airport I have flown through
A personal flight diary, mapped from my home base in Zurich. The same routes and networks I work with by day, seen from a passenger seat.
- 99
- Airports
- 56
- Countries
- 49+
- Airlines
Selected work
Projects
Independent, non-commercial side projects exploring airline planning, data products, and operational decision support.
03 / 03 shown
Side Project
Simulation / Airline Planning
Flamingo Network Lab
A browser-based learning lab for testing how aircraft choice, route structure, demand, and operational constraints shape airline performance, built as a case-study companion to an IATA Network, Schedule & Fleet Planning course in Miami in 2026.
Side Project
Commercial Aviation / Revenue Management / Simulation
Revenue Management Simulator
A browser-based learning simulator, built as part of an IATA Revenue Management course in Singapore in February 2026, that explains how airlines steer seat inventory across booking curves, fare classes, bid-price decisions, overbooking, spoilage, spill, load factor, and yield.
Prototype
Operations Control / Disruption Management / Optimization
Passenger Rerouting Engine
A browser cockpit backed by a Python optimization API that uses Google OR-Tools to re-accommodate disrupted passenger groups across a synthetic European multi-hub network with realistic MCT, MPR, capacity, and partner-routing trade-offs.
Approach
How I think about aviation technology
A few working principles that shape the tools I build and the analysis I write.
02
Operational reality matters
Aviation technology only works if it respects real processes, constraints, exceptions, and edge cases.
03
Data products need trust
Dashboards and models are only useful when users understand what they show, where the data comes from, and when not to rely on them.
04
Tools should teach
The best digital products do more than automate. They help people develop better judgement.
05
Quiet execution beats noise
Serious work does not need exaggerated claims. It needs clarity, consistency, and useful outcomes.
Blog
Notes on aviation, data & technology
Long-form reflections on airline systems, network thinking, simulation, and the technology patterns shaping aviation.
01 June 2026 · 7 min readNetwork ResilienceWhat AWS Taught Me About the Future of European Aviation
A reflection on how cloud-network design can change the way we think about airline resilience, dynamic rerouting, and Europe’s multi-hub aviation systems.
Essays published as each thought is ready.