Experience

  1. Doctoral student

    Institut Pprime - CNRS
    • Thesis: “Active flow control using neuroevolution guided deep reinforcement learning”.
    • PhD advisor: Dr Laurent Cordier, Research Director (CNRS)
    • Conference and workshop presentations:
      • $1^{st}$ ERCOFTAC workshop on Machine Learning for Fluid Dynamics (ML4Fluids). Sorbonne University, Paris (03/2024).
      • $3^{rd}$ international workshop on Artificial Intelligence and Augmented Engineering (AIAE’23). Pascal institute, University of Paris-Saclay (12/2023).
      • $14^{th}$ ERCOFTAC symposium on Engineering, Turbulence Modelling and Measurements (ETMM14). Barcelona, Spain (09/2023).
  2. Systems Engineer

    IBM

    Responsibilities include:

    • Optimized and implemented workflows for master data creation, maintenance, and approval for improved process efficiency.
  3. Associate Systems Engineer

    IBM

    Responsibilities include:

    • Functional consultant (SAP) within the master data management team of Arkema chemicals, France.
    • Collaborated with cross-functional teams to implement solutions for the client.
  4. Research Intern

    Aerial Delivery Research and Development Laboratory, DRDO (Govt. of India)
    Study and experiment on the effect of varying fabric porosity on aerodynamic characteristics of a parachute.

Education

  1. PhD Fluid Mechanics

    Uiversity of Poitiers, France
    Thesis title: “Active flow control using neuroevolution guided deep reinforcement learning”. Supervised by Dr Laurent Cordier, Prof Ronan Fablet.
    Read Thesis (coming soon)
  2. MSc Computational Fluid Dynamics

    Cranfield University, England

    GPA: 3.8/4.0

    Taught Modules:

    • Introduction to Fluid mechanics and Heat transfer, Grid generation / CAD, Numerical methods and High-Performance Computing, Numerical modelling for Incompressible / Compressible flows, Turbulence Modelling, CFD for Aerospace applications and Rotating wings, CFD for Fluid-Structure Interaction, Data analysis and uncertainty, Role of experimental data in CFD.

    Clubs / Societies:

    • Cranfield CFD Forum, Cranfield Photography club.
  3. BTech Aerospace Engineering

    University of Petroleum & Energy Studies, India

    GPA: 3.4/4.0

    Taught Modules:

    • Aerodynamics, Propulsion, Fluid mechanics, Introduction to Computational Fluid Dynamics, Aircraft design, Aircraft structures, Vibrational Analysis, Thermodynamics, Heat transfer, Flight mechanics, Spacecraft Dynamics and attitude control, Orbital mechanics.

    Clubs / Societies:

    • Graphic designer and Treasurer for the American Society of Mechanical Engineers (ASME) collegiate society.
Technical Skills
Skills
Numerical simulation/analysis
Deep Learning
Reinforcement Learning
Programming
Python
Bash scripting
C++
MPI for HPC
Software
Tecplot
ANSYS-Fluent
Pointwise
Languages
98%
English
98%
Hindi
20%
French