Senior Simulation & Software Engineer with 6+ years of experience at the intersection of multi-physics CAE, mechanical engineering, and scalable software architecture. I design and build intelligent simulation ecosystems—from high-fidelity CFD/FEA modeling to cloud-native automation platforms and ML-enhanced engineering workflows.
I specialize in transforming complex mechanical, fatigue/creep, and thermal-fluid problems into automated, data-driven, and AI-ready simulation pipelines — bridging physics-based modeling with production-grade software.
🔬 Multi-Physics Simulation & Mechanical Engineering
CFD, FEA, thermo-mechanical coupling, fatigue, nonlinear analysis, and V&V across nuclear, motorcycle, railway, geomechanics, and industrial sectors. Advanced user of ANSYS (Fluent, Workbench, APDL, Macros, PyAnsys API), Abaqus (CAD/CAE & Python API), Altair (HyperMesh/SimSolid/Inspire), NX Siemens, CATIA, SolidWorks, and PTC Creo/Windchill PLM. Built complete end-to-end CFD/CAE pipelines—CAD preparation, meshing, solver optimization, post-processing, and V&V. Reduced engineering processing time by 80%+ through scripting and API automation.
⚙️ CFD/CAE Automation & Scientific Software Engineering
Python/JavaScript/C++/Fortran/VBA engineering tools for simulation acceleration, pre-processing CAD modeling, post-processing like stress linearization, parametric studies, and DOE (Latin Hypercube).
Stack: PyMAPDL · Abaqus API · SolidWorks API · CATIA/VBA · REST API · NumPy · Pandas · Matplotlib · SciPy · Dash/Streamlit · PyVista · VTK · Docker
I engineer simulation systems — not just run analyses.
💻 Full-Stack Engineer & Software Engineer & Cloud Engineering
Python (FastAPI, Django) · React/TypeScript · PostgreSQL · Redis · Celery · Docker · Azure · Terraform/Pulumi. Microservices with RBAC, CI/CD pipelines (98% unit test coverage), and IaC for large-scale engineering ops. Built web-based CFD/CAE dashboards with Material UI and 3D visualization tools (Three.js, PyVista, Plotly) integrating CAD/CAE/PLM environments.
🤖 AI/ML/DL for Engineering Systems
TensorFlow & PyTorch for CAE model optimization · ML-ready dataset generation from CFD/FEA · surrogate modeling via DOE & LHS · GPU-accelerated processing (cuDF) · analytics pipelines for simulation-driven design decisions.
Thriving where advanced mechanics meets intelligent software — Simulation Software Engineering, CAE R&D, AI for Engineering, and digital engineering platforms across Europe.
📍Barcelona-based · Open to international & remote opportunities
🗣English (C1) · Spanish (C1) · Ukrainian (C2) · Russian (C2) · German (A1)
