CV

I suggest viewing my detailed CV on this webpage. A summarised 2-page PDF is available for download at the top.

Contact Information

Name Sundar Gurumurthy
Email sundar@sundar.guru
Phone +44 7442 278370
Website https://sundar.guru

Professional Summary

Computational engineer with 3+ years of hands-on experience in FEA, materials modeling, and design for manufacturing. Skilled in developing physics-based simulation workflows for WAAM, crashworthiness, and gear systems. Experienced in bridging academic research and industrial R&D through high-fidelity modeling and automation.

Experience

  • 2024 - present

    Cranfield, UK

    Research Assistant
    Cranfield University
    • Built Python/C++ simulation automation pipelines for thermal-mechanical modelling and process-window analysis.
    • Developed phase-transformation strain models using test-driven statistical fitting and thermal-expansion datasets.
    • Integrated laser-scan data with simulation workflows for geometric conformity assessment and deviation-driven modelling.
    • Implemented rapid reduced-order approaches producing industry-usable simulation results in minutes.
    • Developed FORTRAN heat-source models and C++ Abaqus subroutines for nonstandard material and process cases.
    • Delivered technical reports, experimental analyses, and multi-stakeholder design reviews.
  • 2021 - 2022

    Gurugram, IN

    Graduate Engineering Trainee
    Sona Comstar
    • Performed fatigue, structural and tolerance assessments for drivetrain and differential systems.
    • Conducted forging DfM and manufacturing reviews for machining (soft / hard machining), broaching, grinding, polishing, and casting.
    • Defined operational load cases from torque maps and test data.
    • Automated CAD-FEA pipelines using Python/VBA to improve turnaround time.
    • Delivered stress reports, DFMEA documentation and supplier handover packages.
  • 2021 - 2021

    Bengaluru, IN

    Student Trainee - Crash Structures
    Mercedes-Benz R&D India
    • Built LS-Dyna models for tyre, rim and composite crash scenarios.
    • Worked on Lagrangian contact optimisation for fibre-reinforced rubber composites.
    • Automated ANSA meshing using Python scripts.
    • Supported test-simulation correlation for modal and impact behaviour.
  • 2018 - 2018

    Pilani, India

    Volunteer
    NSS BITS Pilani
    • Tutored underprivileged teenagers enrolled under India’s Right to Education Act
    • Assisted in fundraising and donation drives for student scholarships

Education

  • 2023 - 2024

    Cranfield, UK

    M.Res.
    Cranfield University
    Manufacturing
    • Thesis: Understanding and Improving the Inherent Strain Method for Mechanical Analysis of Wire Arc Additive Manufacturing.
    • Key Topics: Residual stress prediction, distortion modeling, process-structure-property relations.
    • Supervisors: Dr. Yongle Sun & Dr. Pradeeptta Taraphdar
    • Funding: NEWAM (EPSRC Programme Grant)
  • 2017 - 2021

    Pilani, India

    BE
    Birla Institute of Technology and Science Pilani
    Mechanical Engineering
    • Grade: 7.71 / 10
    • Class: First Class (Equivalent to UK 2:1)

Skills

Simulation & Modelling: Physics-based modelling, Parameterisable first-principles modelling, Data-driven surrogate models, Multi-objective optimisation, Process-window analysis
Data Science: Scikit-learn, PyTorch3D, Pandas, Polars, Uncertainity quantification
Programming Languages: Python, C++, Rust, FORTRAN, BASH, MATLAB
FEA Solvers: ABAQUS, NASTRAN, LS-DYNA, ANSYS, COMSOL
CAD Tools: NX/Unigraphics, CATIA V5, SolidEdge, Fusion 360
Experimental Methods: X-Ray Diffraction, Electron Backscatter Diffraction, Laser Scanning, Thermal Imaging

Awards

  • 2019
    Student Travel Award
    Utah State University