Modelling and simulation strategy
Convert real engineering problems into precise mathematical models, simulation assumptions, and practical computational plans.
Tools to solve real engineering problems
Advanced computation for engineering teams.
FBW Engineering Solutions helps R&D groups, engineering labs, and product teams transform complex scientific ideas into robust, high-performance software.
Founder-led consulting
From equations to deployable engineering tools.
Led by Felipe Bordeu, FBW combines two decades in advanced computation, a PhD in Computational Mechanics from ENS-Paris-Saclay, research at Ecole Centrale de Nantes, and 10 years at Safran working on simulation and optimization algorithms. His research includes computational design for additive manufacturing, coupled physical problems, inverse methods, optimization, and scientific data visualization for large-scale distributed computing.
What I offer
Engineering algorithms and software, taken further.
Scientific algorithm development
Turn research concepts into maintainable, production-ready algorithms that can survive real engineering constraints.
Software architecture
Design scalable computational systems with clear interfaces, testable components, and a path for long-term ownership.
Performance optimization
Improve Python and C++ code paths for faster simulations, leaner workflows, and better use of available hardware.
Modern R&D delivery
Add CI/CD, packaging, documentation, and deployment practices that make scientific software easier to ship and maintain.
Whiteboard to product
Bridge the gap between promising numerical methods and reliable, fast, user-friendly engineering tools.
Technical focus
Deep computational mechanics experience.
The work is strongest where modelling, algorithms, performance, and software engineering need to meet in one coherent system.
Simulation
Finite element methods, numerical models, computational mechanics, and validation strategy.
Optimization
Topology optimization, design loops, numerical robustness, and workflow acceleration.
Software
Python, C++, architecture, packaging, CI/CD, and maintainable scientific 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, optimize, package, and transfer the tool so your team can use it.
Our customers
The organizations we work with
Our sponsors
The organizations that support us
