Resume
Download Full Resume (updated 18/08/2025)
Summary
Education
MS, Aerospace Engineering, University of Michigan Ann Arbor, 2024-25
Current Research: Generative modelling using Tensor network latent spaces (Recurrent neural networks and Diffusion Models)
MSc, Aerospace Engineering (Master’s degree), Imperial College London (ICL), 2022-23
Concentration: Advanced Computational Methods for Aeronautics, Flow-management and Fluid-structure interaction
Grade: Distinction
B.Tech, Mechanical Engineering (Bachelor’s degree), Delhi Technological University (DTU), 2017-21
Grade: Gpa 8.8 (Out of 10)
Experience
Computational Software Engineering Internship, April 2024–Aug 2024
Schlumberger (SLB), Oxfordshire, United Kingdom
MSc Thesis Student, May 2023–Sept 2023
Imperial College London (ICL), London, United Kingdom
ML Research Internship, Mar 2021–Oct 2021
Carnegie Mellon University (CMU), Pennsylvania, USA
Summer Fellowship Research Programme (SFRP-2020), Jun 2020–Aug 2020
Indian Institute of Technology Delhi (IITD), India
CFD Software Internship, May 2019–Jul 2019
Forbes Marshall, IIT Madras Research Park, India
Airframe CFD Engineer - Unmanned Aerial Systems (UAS-DTU), Nov 2018–April 2020
Delhi Technological University (DTU), India
Skills
Languages: Python, C and C++, OpenGL, LaTeX, SQL, Julia Fortran
Machine Learning & Deep Learning: Scikit-learn, Pandas, Numpy, Pytorch, SciPy, TensorFlow, CUDA, Azure ML
CFD and CAD: Star-CCM+, ANSYS Fluent, OpenFOAM (C++), Nektar++ (C++)
Other: Excel, PowerPoint, PowerBI, Cloud Environments (AWS, GCP), wandb, Streamlit
Journal Publications
- Pant, Pranshu, Ruchit Doshi, Pranav Bahl, and Amir Barati Farimani. Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations , Physics of Fluids 33, 107101, no. 10 (2021).
- Kumar, Yash, Pranav Bahl, and Souvik Chakraborty. State estimation with limited sensors–a deep learning based approach , Journal of Computational Physics 457, 111081, no. 10 (2022).
Relevant courses
Imperial College London - Courseworks
- Computational Fluid Dynamics (CFD)
- Turbulence and Turbulence Modelling
- Computational Linear Algebra
- Advanced Fluid Mechanics and Fluid Structure Interaction (FSI)
- Artificial Intelligence/Machine Learning
University of Michigan, Ann Arbor - Courseworks
- Turbulence Theory
- Bayesian Inference and Estimation
- Linear systems theory
- Multidisciplinary Optimization