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 |
| 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
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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.
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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.
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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.
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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
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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)
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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)
Publications
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
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2019 Student Travel Award
Utah State University