As an experienced researcher in data-driven materials and manufacturing engineering and corrosion science, I aim to leverage my expertise in advanced manufacturing, focusing on process optimization, data-driven control strategies, and bridging computational modeling with experimental validation to enable sustainability in material production. Open to roles in R&D, academia, or industry.
Let's connect to discuss collaborations.
[ Ph.D. (PMRF), Mechanical Engineering ]
[ M. Tech, Metallurgical and Materials Engineering ]
[ B. Tech, Mechanical Engineering ]
[ Postdoctoral Researcher, Faculty of Mechanical Engineering ]
CORRASBLUE
Coastal corrosion risk management through digital twin model for a sustainable blue economy
[ Early Doc fellow, Department of Mechanical Engineering ]
Conducted research in the area of scaffolds for bone implant application
Exploration of the ML-assisted corrosion prediction in compositionally complex alloy
[ Teaching assistant and graduate mentor,
PMRF ]
Supervised and trained six undergraduate students in the domain of powder metallurgy and material characterization
Supervised and trained one PG student in the domain of additive manufacturing
Prepared teaching materials for different courses
[ Research Intern, Electrochemistry Division ]
Prepared SOPs for electroplating baths and related instruments
Performed root cause analysis to enhance the longevity of glass fitting shower hinges
Assessed the environmental damage to the coating layers in mirrors
Coordinated with research scientists and project managers across the departments
Prime Minister Research Fellowship (PMRF) for carrying out doctoral research
Distinguished speaker in Advanced materials science world congress (6th edition) held at Amsterdam, Netherlands
Institute silver medal in M. Tech for securing 1st rank in the department
Best oral presentation in “ICPCM-2019” held at NIT Rourkela
MSCA-PF 2025 seal of excellence by European commision
IOP Trusted Reviewer Status
Programming Languages and Mathematical Packages: MATLAB, Python, C/C++
Libraries: Pandas, Numpy, Scipy, Matplotlib, Scikitlearn
Toolbox: Optimization, Curve Fitting, Neural Net Fitting
Software: SOLIDWORKS, Abaqus, COMSOL Multiphysics, Origin, EC Lab, Minitab, ImageJ
Structural analysis in Abaqus
Corrosion modeling in COMSOL
Domain Knowledge: Additive Manufacturing, Powder Metallurgy, Machine Learning, Corrosion
Advanced materials characterization techniques
Material testing
Scientific Reports (Publisher: Nature Portfolio)
Physica Scripta (Publisher: Institute of Physics Publishing)
Machine Learning: Science and Technology (Publisher: Institute of Physics Publishing)