Here are some details about me:
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💻 Running Projects: I am currently working with FBPINNs for Continuum Mechanics problems, Stacking FBPINNs for time-dependent problems, and FBPINN.jl as a Julia package.
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🔭 Master's Thesis: Modle learning using machine learning and domain decomposition (repo). Physics-Informed Neural Networks (PINNs) tools: FBPINNs, SciANN, and PySINDy.
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🌱 Learning: Code automation, software testing, CI/CD pipelines.
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👯 Collaboration: Open to software development, machine learning, and HPC projects, especially in mathematical modeling and numerical simulations.
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💬 Expertise: PINNs, Finite Element Method (FEM), Algebraic Multigrid (AMG) Solver.
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📫 Contact: Email me for collaborations or queries. or just to say hi!
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😄 Pronouns: He/Him
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⚡ Fun Fact: Fan of Manim by 3Blue1Brown. It's an incredible tool for creating engaging mathematical visuals!
- Python: For data analysis, machine learning, and scripting.
- Julia: For high-performance scientific computing.
- C++: For its robustness and understanding of efficient, structured coding.
I leverage each language's strengths to tackle complex problems across various projects.