skills Technical Skills

  • Computer Languages:
    • C
    • C++
    • Python
    • Java Script
  • High Performance Computing
    • HPC Programming C/C++
    • Cuda
    • OpenMP
    • MPI
    • Performance Analysis
    • Super Computer Scheduling
  • Compiler Design
    • Lexer, Parser Development
  • Graph Analysis
    • Mathematical foundations
    • Algorithms
  • Data Structure
    • Low Level Database management
    • Block-based & Cell-Based AMR Data Structure
    • Surface Mesh (Half Edge Mesh)
  • Computational & Data Analysis:
    • Python programming for Image Processing
  • Presentation & Communication:
    • Strong scientific reporting and presentation skills

lang Languages

  • English, Malayalam - Fluent
  • French - Intermediate

Profile

I hold a PhD in Computational Fluid Mechanics with a strong focus on developing innovative computational tools and open-source software for advanced fluid dynamics simulations. My expertise spans across fluid modeling, numerical methods, and high-performance computing. I am passionate about research that drives technological advancements in the field, with a particular interest in optimizing and refining computational algorithms.

Experience

Doctor Of Philosophy (PhD)

"Numerical Simulations of Cavitation In Blood Vessels Using Parallel Front Tracking Method" - Supervisor : Dr. Stephane Zaleski

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May 2019 - December 2023

- Research addresses targeted drug delivery using acoustic cavitation of microbubbles, modeled via immersed boundary + front tracking methods for compressible multiphase flows and fluid–structure interactions. - The approach is embedded in an adaptive mesh refinement (AMR) framework to capture complex, localized phenomena efficiently. - Designing scalable partitioning strategies for Eulerian (AMR) and Lagrangian (surface mesh) data structures, ensuring efficient parallel communication. - A new Lagrangian mesh partitioning scheme, integrated with a front-tracking, VoF-based All-Mach solver handling compressibility and surface tension.

Research Project

"Optimization of Surface Mesh Partition for Interfacial Flows" - Supervisor : Dr. Stephane Zaleski

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Jan 2024 - July 2024

- Optimisation of mesh partition startegies and communication strategies in interfacial flow simulations involving both surface and volume meshes

Education

MTech, Mechanical Engineering

"Simulation of Interfacial Flows using Block-based AMR Meshes" - Supervisor : Dr. Gourav Tomar

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2016-2018

cgpa

9.1 CGPA

Contact Reference

1. Dr. Stephane Zaleski Sorbonne University, UPMC Campus, Paris email stephane.zaleski@sorbonne-universite.fr 2. Dr. Stephane Popinet Sorbonne University, UPMC Campus, Paris email popinet@basilisk.fr 3. Dr Professor, Department of Mechanical Engineering. IISc Bengaluru, email gtom@iisc.ac.in