CV
Education
- Ph.D in Scientific Computing, University of Stuttgart, Germany, 2016-2019. (1.0/5.0 Magna cum laude)
- M.Tech. in Energy Studies, Indian Institute of Technology (IIT) Delhi, India, 2013-2015. (9.39/10.0, batch-topper)
- B.Tech. in Mechanical Engineering, Rajasthan Technical University Kota, India, 2008-2012. (75.52%, with honors)
Work experience
- 02/2020 - Present: Analytics Software Engineer
- Veoneer GmbH, Germany
- Duties included: Software development for data analytics and visualisation
- 07/2019 - 01/2020: Research Associate (Applied Machine Learning)
- Technical University of Ilmenau, Germany
- Duties included: Leading research in applied machine learning in turbulence
- 01/2016 - 06/2019: Research Associate (Simulation and Data Science)
- University of Stuttgart, Germany
- Duties included: Project managerment, international collaboration, supervision
- 07/2013-09/2015: Teaching and Research Assistant
- Indian Institute of Technology (IIT) Delhi, India
- Duties included: Assisting in teaching and tutoring of students
Skills
- Programming: C++, Python, MATLAB, FORTRAN, git.
- Machine learning: Python, TensorFlow, Keras, Scikit-learn.
- Data Visualization: Power BI, Tabaleau, matplotlib, Seaborn, Matlab, Kepler.gl.
- Computational fluid dynamics: OpenFOAM, Nektar++, Ansys workbench, gmsh, ICEM.
Awards and achievement
Management and leadership
- Managed a large-scale project at Gauss Center for Supercomputing for 3.5 years.
- Led a small team for research in turbulence modelling and machine learning.
Languages
- English (Fluent, C2)
- German (Beginner, A2)
- Hindi (Native, C2)
Certification Courses
- Machine Learning: Hands-On Python, Udemy (online course), 05 February 2019.
- FORTRAN Modernization at HLRS Stuttgart, 12-13 July 2018.
- Cray XC40 Workshop on Optimization at Scale at HLRS Stuttgart, 20-22 September 2017.
- FORTRAN for Scientific Computing at HLRS, Stuttgart, 20-24 March 2017
Publications
Journal Referee