Daniel Plucenio is a backend developer with 12 years of experience building high-performance numerical and CAE applications, now specializing in Java for SimScale’s cloud-based CFD, FEA and thermal simulation platform. He combines deep mathematical expertise—linear algebra, optimization and PDE solvers—with hands-on experience implementing transient, nonlinear physical models for drilling, wellbore thermal behavior and cuttings transport used in oil & gas operations. His background includes porting and parallelizing solvers (PETSc, OpenMP), developing pore-network and reservoir models, and creating operational optimization algorithms, giving him rare fluency across research, prototype and production code. Comfortable in C++, Python and modern Java ecosystems, he brings both engineering rigor from a master’s in mechanical engineering and practical product focus from real-time data platforms. Colleagues rely on him to translate complex physics into robust, scalable backend services that run in the cloud.
13 years of coding experience
12 years of employment as a software developer
Master’s Degree, Mechanical Engineering, Master’s Degree, Mechanical Engineering at Universidade Federal de Santa Catarina
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