Scientific Machine Learning Engineer May 2025 – Present

Zenteiq.ai, Indian Institute of Science (IISc), Bangalore

  • Developing Physics-Informed Neural Networks (PINNs) and Geometry-Informed Neural Operators (GINOs) for accurate prediction of magnetic fields in stator geometries.

Research Scholar May 2024 – May 2025

National Institute of Technology, Kurukshetra

  • Conducted research on Physics-Informed Neural Networks (PINNs) for solving time-fractional and nonlinear PDEs.
  • Implemented PINNs in TensorFlow for Burgers–Huxley and Convection–Diffusion equations.

Research Intern Aug 2023 – May 2024

National Institute of Technology, Kurukshetra

  • Conducted comparative study of numerical solvers for ODEs and PDEs, analyzing accuracy, convergence, and computational efficiency.
  • Presented results through numerical experiments on classical PDEs.