I am a computational physicist, mathematician, with a PhD in Astrophysics and over three years of postdoctoral experience. My expertise lies in problem-solving using advanced computational techniques and programming and statistical data analysis. I am proficient in Python and C++, and have extensive experience with tools such as Mathematica and Maple. My work has involved developing codes and software for gravitational wave data analysis, authoring scientific articles, and tackling complex physics problems. Currently, I am focused on expanding my skill set in machine learning, particularly in physics-informed neural networks and simulation-based inference tools for complex data analysis. I have hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Keras, and Scikit-learn, which I have used to deepen my understanding of machine learning concepts through computational examples. I am actively taking courses to further enhance my machine learning expertise.I am now seeking opportunities in industry where I can leverage my problem-solving abilities and programming skills. I am eager to broaden my experience beyond academia and apply my knowledge to new challenges in a dynamic and innovative environment.