Felipe Schuch is an Application Engineer and PhD-trained mechanical engineer with ~8 years of professional experience bridging Python development, HPC, and CFD research. He builds and maintains production-grade tools like Jobbergate, automating workflows that reduce friction in high-performance computing environments and empower engineering teams to move faster. His background includes leading contributions to open-source Navier-Stokes solvers (XCompact3d/Incompact3d) and developing a dedicated Python toolbox for pre/postprocessing of large simulation datasets. Comfortable across FastAPI backends, CLI tooling, Docker, CI/CD, and MPI-accelerated Fortran, he blends academic rigor with pragmatic software practices. Based in Rio Grande do Sul, Brazil, Felipe is known for turning complex turbulent-flow problems into reproducible, scalable pipelines that make simulation results more accessible to non-specialists.
8 years of coding experience
2 years of employment as a software developer
PhD, Engineering and Materials Technology, Mechanical Engineering / Computational Fluid Mechanics / High-Performance Computing, PhD, Engineering and Materials Technology, Mechanical Engineering / Computational Fluid Mechanics / High-Performance Computing at PUCRS - Pontifícia Universidade Católica do Rio Grande do Sul
MS, Engineering and Materials Technology, MS, Engineering and Materials Technology at Pontifícia Universidade Católica do Rio Grande do Sul
Aprenda programação em Python, e mais do que isso, solucione diversos problemas de engenharia por meio de ferramentas computacionais.
Contributions:4 PRs, 207 pushes, 5 branches in 1 year 1 month
pythonporferramentaspython3programa
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