CV

💻 Core Skills

Programming: Python, C++, Fortran, Bash
Simulation: CFD, DEM, LES, DNS, OpenFOAM, YALES2, Neptune_CFD
Machine Learning & AI: PyTorch, TensorFlow, scikit-learn, PPO, GNNs, CNNs, MLPs, Random Forests, Surrogate Models, Torchvision, OpenCV, Reinforcement Learning
Data & HPC Tools: MPI, OpenMP, CUDA, PyCUDA, HDF5, Slurm, Docker, Git, GitHub Actions, Paraview
Software Engineering: Version Control, Continuous Integration, Parallel Computing, Solver Development
Languages: English (Fluent), French (Intermediate), Hindi (Native)

Postdoctoral Researcher

Laboratoire de Génie Chimique, Toulouse — 2024–Present

Simulated full-scale fluidized bed reactors using Euler–Euler and LES-DEM models in Neptune_CFD (C++) and YALES2 (Fortran); validated results against PEPT experimental data
Conducted CFD-DEM studies with 50M particles on GENCI clusters (Adastra, Jean-Zay, TGCC) and CALMIP
Designed a bi-disperse particle setup for validation against experimental setups
Created an automated post-processing pipeline in Python for pressure drop, volume fraction, velocity stats
Collaborated with experimentalists to align PEPT data with simulation for multiphase model validation
Built a reproducible HPC workflow combining Fortran, C++, and Python

Doctoral Research Fellow

Institut de Mécanique des Fluides de Toulouse — 2020–2023

Extended a Fortran + MPI DNS code to simulate turbulent channel flows using P3DFFT
Built a solver for non-spherical particle dynamics in turbulence, tracking both translation and rotation
Implemented quaternion-based rigid-body dynamics; advanced using a NASA-inspired scheme
Created a contact detection algorithm using unconstrained optimization and Lagrange multipliers
Validated solver results with kinetic theory of anisotropic particles
Explored particle–flow coupling in ellipsoidal particle suspensions under turbulence

Research Intern

IMFT, Toulouse — 2019–2020

Built conformal meshes via complex analysis to study surface effects on hydrofoils
Performed DNS to analyze impact of superhydrophobic surface treatments on drag
Achieved a 5% drag reduction through strategic patch placement and patterning

PhD in Fluid Mechanics

Université de Toulouse, France — 2020–2023

MSc in Fluid Engineering & Industrial Processes

INSA Toulouse, France — 2019–2020

MTech in Computational Fluid Dynamics

University of Petroleum & Energy Studies, India — 2017–2019

BTech in Mechanical Engineering

College of Engineering, Bhubaneswar — 2012–2016