Aerospace engineer, researcher and builder who enjoys turning complex engineering, numerical and decision problems into tools that are easier to understand, explore and use.
My interests sit at the intersection of aerospace engineering, numerical modelling, data science, simulation and practical software — especially tools that turn complex calculations into something people can actually explore, question and use.
Decisions compound too.
An open-source investment journey simulator for beginners and advanced users. Model contributions, pauses, withdrawals, timing, tax and rebalancing — then see how each decision changes long-term outcomes and why.
Built in Python and Streamlit, with scenario comparison, goal planning, historical replay, stochastic analysis, rebalancing experiments, tax-aware cash-flow modelling and independent numerical cross-checks.
An interactive Python and browser application for finite-depth Airy-wave calculations, phase-consistent water-particle motion, energy transport, shoaling and engineering diagnostics.
- Aerospace and fluid mechanics
- Numerical modelling and simulation
- Scientific Python
- Data analysis and decision intelligence
- Financial modelling and long-horizon simulation
- Interactive engineering tools
- Reproducible and testable computational software
I enjoy simplifying complexity without hiding the engineering behind it. I like building tools where the calculation is not a black box:
state the assumptions → run the model → inspect the result → explain why it changed
The repository should contain enough evidence for another person to question, reproduce and improve the result.
More projects, experiments and research tools will be added here over time.