SOURABH MORE
Simulation/Graphics Software Engineer | CAE Engineer | Python & C++ Developer | 3D Modeling | AI & Data Analytics | Graphics and Data Visualization | FEM/FEA
About Me
I’m a simulation/graphics-focused software engineer with an M.S. in Computer Science from Oregon State University, specializing in FEM/FEA pipelines, scientific visualization, and graphics for interpreting complex physical data.My drive comes from shipping end-to-end workflows: model → solve → validate → visualize. I’ve built nonlinear, contact-rich simulations (Abaqus, Siemens NX, Nastran/HyperWorks), calibrated materials, and automated post-processing to compare solvers, convergence, and error so decisions are grounded, not guessed.Lately, I’ve been bridging physics with data methods: Python/C++ automation, scientific dashboards, and Topological Data Analysis (persistence diagrams, Reeb graphs) to reveal patterns in stress and dynamics that raw plots miss.I’m currently exploring roles where I can scale these strengths in production: Simulation Software Engineer / Graphics Software Engineer / CAE Engineer / Structural Analysis Engineer / Computational Mechanics, owning model fidelity, solver performance, and visualization UX. Keywords: Python, C++, FEM/FEA, Abaqus, Siemens NX, Nastran, HyperWorks, ParaView, MATLAB, CI/CD, dashboards.If your team values rigorous modeling, clean automation, and readable visuals that speed engineering decisions, let’s connect.
Skills/Tools
Excel | Tableau | Power BI | SQL | Python | C++| Scientific Visualization | Finite Element Method (FEM) | Tensor Field & Stress Analysis | Numerical Methods & Optimization | Abaqus | Ansys | Siemens NX | LS-Dyna | Blender | MATLAB |Unity | OpenGL |
Data Visualization - 2+ years
Research - 2+ Years
Team Management - 2+ Years
Problem Solving - 3+ Years
Work Experience
Graduate Researcher – OSU
Jan 2024 - Dec 2025
- Physics Modeling (FEM): Built 3D racket–shuttle impact models in Siemens NX & Abaqus/Explicit, using linear elastic, hyperelastic, and viscoelastic formulations; calibrated Mooney–Rivlin & Prony series with drop/creep tests; implemented tied, frictional, cohesive contact.
- Numerical Analysis: Performed mesh & time-step refinement with <5% error targets; compared implicit vs. explicit schemes; optimized mass scaling, bulk viscosity, hourglass control; documented convergence curves & solver QA checklists.
- Visualization & Post-Processing: Automated extraction of scalar (von Mises, principal), vector, tensor fields; built dashboards with contour maps, probe plots, timelines; exported CSV/images/animations for NX ↔ Abaqus validation.
- TDA on Stress Fields: Applied persistent homology & Reeb graphs to stress/strain fields; generated persistence diagrams & landscapes; benchmarked Lp-norm features vs. rebound stability; built Python/Colab pipelines for FEM–TDA integration.
Simulation Software Engineering Intern - Nirmitee Consultants
March 2022 - May 2023
- Developed and optimized physics-based simulation workflows for structural and mechanical models using Python, C++, and numerical libraries such as NumPy, Pandas, and Eigen.
- Automated Finite Element Analysis (FEA) preprocessing and postprocessing pipelines—integrating mesh generation, boundary condition assignment, and result extraction to accelerate R&D iterations.
- Implemented data-driven regression and error estimation modules for simulation datasets to improve prediction accuracy and sensitivity analysis.
- Created custom visualization dashboards and 2D/3D plotting utilities using Matplotlib, Plotly, and ParaView scripts for comparative analysis of material performance metrics.
- Designed automated validation scripts for simulation outputs with version-controlled documentation (Git) and continuous integration workflows, ensuring traceability and reproducibility across experiments.
- Collaborated with civil engineers and analysts to integrate simulation intelligence with real-world testing data, improving cross-validation accuracy between experimental and simulated results.
