Here are some details about me:
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🔭 Master's Thesis: Currently working with Physics-Informed Neural Networks (PINNs), FBPINNs, SciANN, and PySINDy for model learning.
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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 modelling 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 efficient, structured coding.
I leverage each language's strengths to tackle complex problems across various projects.