Highly motivated researcher with expertise in CFD, multiphase flows, and thermal analysis, demonstrated through advanced numerical simulations, model development, and experimental validation. Proficient in industry-standard software (Fluent/CFX/Icepak, OpenFOAM, StarCCM+) and programming languages (C++, Python). Proven ability to improve performance in complex fluid and thermal systems.
A selection of projects I've worked on. Click any project to see the details.
This project pioneers the use of the RAFT machine learning algorithm for Optical Flow to analyze cloud cavitation, a damaging multiphase flow phenomenon, by quantifying its velocity field uncertainty with CFD-generated synthetic images to improve understanding and mitigation of cavitation erosion.
Identified the role of Kelvin-Helmholtz instability during the shedding of cavitation clouds. Proposed a new non-dimensional number that can explain the nature of shedding observed at different scales.
This Python-based scripting solution leverages HPC and Parquet files to accelerate OpenFOAM post-processing by drastically reducing file count, streamlining I/O, and automating analysis tasks.
Applied Roy-Oberkampf framework on 2D steady-state incompressible laminar flow solver of OpenFOAM
Masters Thesis
Generating shortest nozzle for a given mach number using Method of Characteristics.
Optimization of Heat Sink for Cooling a Chip
A basic 2D heat equation solver to visualize heat conduction based on Dirichlet boundary conditions.
The final year project of my Bachelors' on Non-linear dynamical systems.
Won the student gokarting competition. As a part of the competition, we need to design and build a gokart from scratch.