Julio  M.
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CFD Scientist and Thermal Fluid Eng. Expert in Applied Math and HPC.

Mechanical Engineer specializing in Thermal Fluids and expert in CFD with more than 15 years of professional experience. Specialist in CFD software development, CFD solution architecture, and applications with High-Performance Computing (HPC). My experience varies from computer science to numerical analysis, numerical methods, and applied math. I am experienced in computational solutions based on Design of Experiments (DoE) and surrogate modeling to accelerate engineering designs using Machine Learning (ML/AI). As a professional CFD Engineer, I have worked on multiphase flows (multicomponent gas with multiphase interaction), HVAC, thermal analysis, heat transfer, heat exchangers, fluid flows, turbulence modeling (LES, DNS, RANS), corrosion modeling, supersonic/hypersonics flows, aerodynamics, combustion, optimization applications, uncertainty quantification, sensitivity study, and quality assurance through V&V. I am an active member of the American Institute of Aeronautics and Astronautics (AIAA). I actively collaborate with academia in scientific publications and as a technical reviewer. I am familiar with International Standards such as ASHRAE, ASME, ANSI, API, and ASCE. I am proficient with Python for projects requiring AI/ML, e.g., sensitivities studies or for optimization purposes; and compiled languages such as Fortran, C, and C++ for CFD development projects, as well as Java, bash scripting, and Linux environment for HPC applications and cloud computing. I am an expert in different CFD tools such as ANSYS Fluent, StarCCM+, OpenFOAM, ANSYS CFD, Cadence Suite (including Pointiwse), SimScale, and many more. I am an expert on Solidworks, Salome, OnShape, and Inventor for CAE modeling.

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  • Python
  • SolidWorks
  • Model Optimization
  • Mathematical Modeling
  • Stress Analysis
  • CFD Analysis