I am a **permanent resident of the US**, currently residing in Dublin, Ohio. With a Ph.D. in **Electrical Engineering** from Anna University, India, and a strong background in predicting nonlinear dynamics of physical systems using advanced machine learning techniques, I am excited about the opportunity to contribute to a pioneering team and push the boundaries of machine learning. During my **doctoral research**, I delved deep into exploring nonlinear dynamics and predictive control, leveraging cutting-edge machine learning methodologies to predict and analyze complex physical systems. As a researcher, my expertise in time-series analysis, nonlinearity quantification, and numerical computation has equipped me with a solid foundation to tackle the challenges posed in the field of machine learning. My professional journey includes an impressive track record of high-impact journal articles published in renowned publications like **Springer Nature, Wiley-VCH, Elsevier, IFAC and ASME.** Moreover, my track record of publishing high-impact journal articles demonstrates my commitment to contributing to the scientific community. With **proficiency in Matlab, Python, and LabVIEW,** along with a keen understanding of machine learning frameworks such as Scikitlearn, TensorFlow and PyTorch, I am confident in my ability to contribute to your research projects effectively. My strong analytical skills, combined with my ability to think creatively and solve challenging problems, make me well-suited for any dynamic and fast-paced environment