A central part of my work is translating detailed scientific data into clear technical direction. I have experience planning and managing research tasks, coordinating experimental work, analysing complex results and communicating findings to both scientific and non-specialist stakeholders. I enjoy working in environments where materials decisions matter: where small changes in defects, interfaces, processing history or transport behaviour can influence device performance, structural reliability, energy efficiency or advanced technology development.
My approach is mechanism-driven, practical and collaborative. I aim to bridge the gap between laboratory observations and engineering decisions, helping teams understand materials challenges, identify root causes and develop evidence-based solutions for demanding applications.
My academic path began with analytical chemistry and computer science, followed by nanotechnology and thin-film materials. Before my PhD, I worked as a research scientist at Dr. Babasaheb Ambedkar Marathwada University, where I focused on thin-film fabrication for solar-cell applications, XRD installation and operation, and EXAFS/PDF-based structural analysis. This gave me a strong foundation in functional materials, coatings, structural analysis and applied materials research.
I later specialised in physical metallurgy during my PhD at the Institute of Materials Physics, University of Münster, studying how grain boundaries, deformation, defects and interfaces control atomic transport and microstructure evolution in nickel and metal–metal composites. This work strengthened my expertise in grain-boundary diffusion, severe plastic deformation, recrystallisation, hardness and microstructure–property relationships.
Teaching has also shaped my scientific communication: I taught introductory quantum physics to MSc students in India, and severe plastic deformation and crystallography practicals in Münster.
More recently, I have been expanding my profile toward Python, machine learning and AI/ML-enabled materials analysis through an AI/ML Engineer Certificate Program at IIT Mandi and IIT Pravartak.
Overall, I see myself as a metallurgist with a broader materials science and engineering identity — connecting thin films, deformation-processed metals, interfaces, advanced characterisation, teaching and emerging data-driven approaches to solve materials challenges with both scientific depth and engineering relevance.
