I design, build, and run CFD simulations across ANSYS Fluent and OpenFOAM — and I write the solver code too. From developing custom OpenFOAM solvers and Fluent UDFs to building ML-accelerated surrogate models and automating HPC workflows, I bridge the gap between simulation science and engineering delivery.
With a research background from IIT Madras and hands-on industry experience at ANSYS and IIT Bombay, I deliver rigorous CFD solutions — from application simulations to custom solver code.
Industrial-grade simulations using ANSYS Fluent and OpenFOAM — internal/external flow, convective heat transfer, turbulence modelling, and aerodynamics for research and industrial problems.
VOF, DPM, and Eulerian multiphase simulations for boiling, cavitation, spray, and dispersed two-phase flow. Validated against benchmark and experimental data.
Custom OpenFOAM solvers, Fluent User-Defined Functions (UDFs) in C, and FDM-based solvers built from scratch for physics not covered by standard packages.
Reduced-Order Models (ROM), surrogate model development, and machine-learning techniques applied to CFD data — enabling fast, reliable predictions without full simulations.
Python, PyFluent, and Bash scripting for automated simulation pipelines on HPC clusters — reducing turnaround time and improving reproducibility at scale.
A broad toolkit spanning simulation software, solver development, scientific computing, and HPC environments — built through years of research and industry practice.
10th International Conference on Heat Transfer & Fluid Flow (HTFF-2023), London, UK
Hyperloop Transportation System — Patent No. 587506, April 2026
Mechanical Subsystem Award, European Hyperloop Week 2022, Delft, Netherlands
Whether you need a full simulation study, help debugging a model, a custom solver written, or ML-based speedup of your workflow — I'm available for project-based consulting engagements.