Career Timeline

A brief history of my research, work, and education.

Jul 2023 — present (writing-up status)

PhD Student, Computational Mechanics and Machine Learning

City St George's, University of London
Lead developer and maintainer of PhAST, a PyTorch-native, GPU-accelerated differentiable solver for phase-field fracture, with a public preprint covering formulation, benchmarks, and scalar inverse analysis. Lead author of the 2026 Engineering Fracture Mechanics review of machine learning for computational fracture and damage mechanics.
2025

Visiting Researcher

EPFL (Computational Solid Mechanics Lab)
Worked with Prof. Jean-François Molinari and the LSMS group on differentiable methods for solid mechanics and collaborated on the Engineering Fracture Mechanics review.
2023 — Present

Graduate Teaching Assistant

City St George's, University of London
Support mechanics, materials, manufacturing, wind-turbine tower design, and Siemens NX CAD activities. Created and maintain open PyTorch and scientific-machine-learning tutorials while assisting Dr Sathiskumar Anusuya Ponnusami's teaching at Queen Mary University of London. Received the 2026 Dean's Award for Outstanding Teaching Support.
2020 — 2021

Founder and Tool Developer

Aeroknacks India Ltd
Built and shipped aerospace structural-analysis and hand-calculation automation in Excel-VBA, using E.F. Bruhn, Michael Niu, Boeing Design Manuals, and ESDU references.
2021 — 2023

MTech in Design and Manufacturing

National Institute of Technology Silchar
Developed machine-learning surrogate models for fatigue-life prediction in aluminium alloys. Graduated with a CGPA of 9.88/10 and received the Best Student Award.
2016 — 2020

B.E. in Mechanical Engineering

GM Institute of Technology, Visvesvaraya Technological University
Foundational engineering mechanics, thermodynamics, and manufacturing.

Technical Skills

Machine Learning

  • PyTorch & Autograd
  • Physics-Informed NNs (PINNs)
  • Neural Operators (FNO, DeepONet)
  • Scikit-Learn & Tabular ML
  • Optimization & Differentiable Physics

Computational Mechanics

  • Phase-Field Fracture Modeling
  • Finite Element Method (FEM)
  • Solid & Fracture Mechanics
  • Aerospace Structural Sizing (Bruhn)
  • Abaqus, ANSYS

Software Engineering

  • Python, MATLAB, Excel-VBA
  • GPU Acceleration (CUDA)
  • Slurm, Git, CI/CD, Sphinx
  • Scientific Python (NumPy, SciPy)
  • Web (HTML/CSS/JS, Jekyll)