2021: Doctor of Engineering
Department of Mechanical Engineering, Ruhr Universität Bochum

2018: Master of Science in Materials Science and Simulation
ICAMS, Ruhr Universität Bochum

2012: Bachelor of Technology in Mechanical Engineering
National Institute of Technology Calicult


Research Associate (Feb 2021 - present)
Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf

Developing software and workflows to enable FAIR and reproducible research in Materials Science as part of the NFDI-MatWerk consortium. My work includes the development of the open-source workflow environment pyiron, providing open-source access to software using conda-forge, and organisation of training and workshops.

Research Associate (Oct 2020 - Feb 2021)
Atomistic modelling and simulation, ICAMS, Ruhr Universität Bochum

Developing automated tools for testing and validation of material properties predicted by interatomic potentials as part of DFG project 405621217. My work also includes developement of Machine Learning Atomic Cluster Expansion interatomic potentials.

Doctoral candidate (Aug 2018 - Oct 2020)
Atomistic modelling and simulation, ICAMS, Ruhr Universität Bochum

Doctoral student as a part of the International Max Planck Research School for Interface Controlled Materials for Energy Conversion and working in the group Atomistic simulation of the kinetics of phase transformations. Project is the study of nucleation during solidification in transition metals using atomistic simulation methods like transition path sampling.

Student assistant (Aug 2016 - Aug 2020)
Atomistic modelling and simulation, ICAMS, Ruhr Universität Bochum

Developing and testing of a python wrapper for transition interface sampling. Work responsibilities included developing code to implement the method, testing of the code, maintaining a repository and wiki, creating examples and tutorials.

Assistant manager, Manufacturing (Oct 2012 - Jun 2014)
Commercial vehicles axles, Tata Motors Ltd., Pune, India

Monitoring and planning for daily production, inventory, productivity, cost and quality targets. Identification of customer quality issues and effective resolution.