Simulation and modelling
Build or improve numerical models, simulation assumptions, and validation strategies for difficult engineering problems.
For difficult engineering problems
Complex engineering models. Reliable software.
I help engineering and R&D teams turn advanced numerical methods into validated tools for simulation, optimisation, and design.
PhD in Computational Mechanics
ENS Paris-Saclay
10+ years working with Safran
Former employee; current independent contractor
Peer-reviewed research
View Google Scholar profile
Founder-led consulting
From equations to deployable engineering tools.
FBW Engineering Solutions is led by Felipe Bordeu, a computational-mechanics researcher and scientific-software engineer.
Felipe holds a PhD in Computational Mechanics from ENS Paris-Saclay, conducted research at École Centrale de Nantes, and has worked with Safran for more than 10 years—first in-house and now as an independent contractor through FBW Engineering Solutions.
His work spans computational design for additive manufacturing, coupled physical problems, inverse methods, optimisation, and scientific data visualisation for large-scale computing.
FlowGraph workflow platform
Visual workflows for technical and scientific work.
FlowGraph is a local-first platform for building typed, reproducible processing workflows. Design a workflow in the browser, download its portable JSON definition, and run it with local FlowGraph.
Know more about FlowGraph
Design
→
Run locally
→
Reuse
Available now
- Typed visual workflows and validation
- Versioned, portable workflow JSON
- Local execution and custom Python nodes
- Mesh-processing workflows
Platform direction
- Cached execution and reusable results
- Remote execution environments
- Image workflows and scientific integrations
- Additional domain-specific tools
The browser editor is authoring-only: it does not execute code or access local data.
What I offer
From numerical methods to engineering capability.
Design and topology optimisation
Develop robust optimisation workflows that support faster design exploration and stronger engineering decisions.
Scientific software development
Turn research concepts into tested, maintainable Python and C++ tools with clear interfaces and documentation.
Performance and deployment
Accelerate compute-heavy workflows and establish testing, packaging, CI/CD, and handover practices for lasting use.
Technical focus
Deep computational mechanics, built for use.
The work is strongest where modelling, algorithms, performance, and software engineering need to meet in one coherent system.
Computational mechanics and multiphysics
Finite element methods, coupled physical problems, numerical models, and validation strategy.
Reduced-order modelling and optimisation
Real-time simulation, topology optimisation, design loops, and numerically robust workflows.
High-performance scientific software
Python, C++, scalable architecture, packaging, CI/CD, and maintainable computational codebases.
Engagement style
Focused work with practical outputs.
Diagnose
Clarify the engineering question, constraints, and current computational bottlenecks.
Design
Choose the model, algorithm, architecture, and delivery path that match the problem.
Deliver
Implement, test, optimise, package, and transfer the tool so your team can use it.
Based in Australia, working globally
Bring a difficult algorithm or simulation project.
Send a short description of the engineering problem, your current approach, and the outcome you need. I will respond with whether and how I can help.
Selected client
Supporting engineering innovation at Safran
Supported by
French-Australian business community
