About

In pursuit of knowledge, the important thing is not to stop questioning. Curiosity has its own reason for existing.

I recently completed my Ph.D. in Materials Science from IIT Bombay and am currently working as a Research Associate on the Quantum Mission project funded by the Department of Science and Technology, Government of India. My work spans computational materials discovery, machine learning, and spintronic materials for next-generation quantum and electronic applications.

During my Ph.D., I focused on developing efficient computational workflows to predict the thermodynamic and vibrational stability of materials using machine learning models trained on density functional theory (DFT) datasets. Additionally, I investigated spin–orbit interaction phenomena and their role in next-generation electronic and spintronic device applications. My research emphasizes data-driven screening strategies that reduce computational costs while maintaining high predictive accuracy.

My academic background includes an M.Tech. in Nanotechnology from NIT Kurukshetra and over 3 years of experience in the software industry. This unique blend of computational, materials, and programming expertise enables me to work effectively at the intersection of physics, AI, and materials informatics.

I’m passionate about accelerating materials research through data-driven approaches and am open to opportunities in advanced materials R&D, quantum technologies, and applied machine learning.