CV
Skills
- Programming: C++, Python, MATLAB, FORTRAN, git
- Machine learning: Python, TensorFlow, Keras, Scikit-learn
- Computational fluid dynamics: Ansys workbench, gmsh, ICEM
Management and leadership
- Managed a large-scale project for Supercomputing for 2.5 years
- Performed monte carlo simulation to generate volumed, big data of 3D point cloud, LiDAR datasets
- Led a small team for research in wind prediction modelling and machine learning
- Managed inter-colleges fests and events organisation with college committee for more than 3 years
Languages
- English (Fluent, C2)
- German (Beginner, A2)
- Hindi (Native, C2)
- Kumaoni (Native, C2)
Certification Courses
- Machine Learning: Univeristy level courses and cleared the exam with good grades
- Cray XC40 Workshop on Optimization at Scale at HLRS Stuttgart, 20-22 September 2018.
- FORTRAN for Scientific Computing at HLRS, Stuttgart, 20-24 March 2018
Publications
Journal Referee
