I completed my Integrated M.Sc. in Mathematics at Veer Surendra Sai University of Technology (VSSUT), graduating as the Branch Topper with a 9.44 CGPA. 

Currently, I am pursuing Ph.D. as a Research Scholar at VSSUT, focusing on Optimization and Machine Learning. My academic and professional journey is driven by a deep fascination with Machine Learning, Optimization, Data Science, Applied Mathematics and Explainable AI (XAI).  

Throughout my studies, I have actively pursued applied research, resulting in published papers in peer-reviewed international journals, alongside multiple papers currently under review and working preprints. My work primarily leverages Physics-Informed Neural Networks (PINNs) and Explainable Machine Learning to solve complex, real-world problems. This includes developing predictive frameworks for healthcare risks like Alzheimer's and heart disease, as well as modeling real-time battery prognostics, computational fluid dynamics, and detecting machine-generated disinformation.  

I have continuously strengthened my analytical and technical capabilities through research internships at the National Institute of Science Education and Research (NISER), Amity University, and the Advanced Mathematical Innovation Center for Artificial Intelligence and Scientific Computing (AMICAISC). Additionally, I have gained practical, industry-facing experience through Data Science, Analytics, and GenAI job simulations with Deloitte Australia, Tata, and British Airways.  

Beyond independent research, I am deeply engaged in the academic community. I have proudly served on the organizing committees and presented my research at international conferences, including ICPAM-DS 2026 and ICAMDS 2026.