(Researcher/ML Enthusiast/~Coder/)

I'm a Researcher who is building his way into the AI world, one step at a time. During my Ph.D., I worked with a team to develop a new real-time time-dependent density functional theory (rt-TDDFT) in the open-source Python software, PySCF. My role focused on the correct theory development and implantation of the basis-set conversion within the implemented approach in PySCF, which orthogonalized the quantum wave function using the Lowdin transformation method to study the excited-state dynamics of periodic systems. The results were published in the Journal of Computational Chemistry. My focus has shifted to implementing machine learning and deep learning techniques to help study complex systems that can help the industry improve business efficiency.

Check out my publications.