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Computational physicist and R&D scientist with a PhD in Physics and 10+ years of experience applying numerical modeling, FEM/CFD simulations, and machine learning to complex real-world problems. I spe... Read more

Computational physicist and R&D scientist with a PhD in Physics and 10+ years of experience applying numerical modeling, FEM/CFD simulations, and machine learning to complex real-world problems. I specialize in turning physics-based models into robust, efficient, and well-documented computational solutions. My work spans heat transfer and thermal systems, multiphysics simulations (Ansys, COMSOL), and AI-accelerated modeling, including Physics-Informed Machine Learning and surrogate models to reduce simulation time without sacrificing physical accuracy. I also develop custom Python-based tools and software interfaces that automate and extend commercial solvers. I am highly comfortable working at the intersection of science, engineering, and software, and I place strong emphasis on clear communication, documentation, and reproducible workflows. Whether you need advanced simulations, data-driven modeling, or technical content that bridges theory and implementation, I deliver precise, reliable results. Core skills: FEM/CFD · Ansys · COMSOL · Python · Machine Learning · Physics-Informed ML · Heat Transfer · Scientific Computing · Technical Documentation

Computational physicist and R&D scientist with a PhD in Physics and 10+ years of experience applying numerical modeling, FEM/CFD simulations, and machine learning to complex real-world problems. I spe... Read more

Computational physicist and R&D scientist with a PhD in Physics and 10+ years of experience applying numerical modeling, FEM/CFD simulations, and machine learning to complex real-world problems. I specialize in turning physics-based models into robust, efficient, and well-documented computational solutions. My work spans heat transfer and thermal systems, multiphysics simulations (Ansys, COMSOL), and AI-accelerated modeling, including Physics-Informed Machine Learning and surrogate models to reduce simulation time without sacrificing physical accuracy. I also develop custom Python-based tools and software interfaces that automate and extend commercial solvers. I am highly comfortable working at the intersection of science, engineering, and software, and I place strong emphasis on clear communication, documentation, and reproducible workflows. Whether you need advanced simulations, data-driven modeling, or technical content that bridges theory and implementation, I deliver precise, reliable results. Core skills: FEM/CFD · Ansys · COMSOL · Python · Machine Learning · Physics-Informed ML · Heat Transfer · Scientific Computing · Technical Documentation

Proficient with solving heat transfer, thermodynamics, machine learning, atomistic level material science problems

Proficient with solving heat transfer, thermodynamics, machine learning, atomistic level material science problems