Available for collaboration

Mechatronics
Engineer

MSc Student bridging computational intelligence and structural mechanics — building AI-driven tools that reshape how engineers design, simulate, and optimize.

AI-Driven FEA
Mesh Optimization
CAE Automation
View Projects Get in Touch

Featured Work

Projects

MeshCrafter

AI-Powered Mesh Optimization

An intelligent mesh generation and optimization pipeline that transforms shell step files into high-quality finite element meshes using Graph Neural Networks. Automates what traditionally requires hours of manual CAE preprocessing.

  • Graph Neural Network-driven element quality prediction
  • Automated shell step file parsing and geometry reconstruction
  • Adaptive mesh refinement based on stress field estimation
  • Reduces preprocessing time by up to 70%
Python GNNs PyTorch OpenCASCADE FEA

FEA Automation Suite

End-to-End Simulation Pipeline

A comprehensive automation framework for ANSYS-based finite element analysis. Orchestrates geometry import, meshing, boundary condition application, solving, and post-processing through a unified Python API.

  • Programmatic ANSYS Mechanical workflow control
  • Parametric study automation with design of experiments
  • Custom post-processing and result extraction
  • Integration with optimization algorithms
ANSYS Python PyMAPDL Automation API

ANSA Preprocessing Toolkit

Batch CAE Preprocessing

A collection of ANSA scripting tools for batch meshing, quality checking, and model setup automation. Streamlines repetitive preprocessing tasks across multiple vehicle load cases.

  • Automated batch meshing with quality criteria enforcement
  • Custom macro library for repetitive model operations
ANSA Python Batch Processing CAE

Structural ML Predictor

Surrogate Modeling for FEA

Machine learning surrogate models trained on FEA results to predict structural responses in real-time. Enables rapid design space exploration without running full simulations.

  • Neural network surrogate for stress/displacement prediction
  • Active learning loop for efficient training data generation
Machine Learning Scikit-learn TensorFlow FEA

Technical Proficiency

Skills

Simulation & CAE

ANSYS Mechanical 92%
ANSYS PyMAPDL 88%
ANSA 85%
FEA / CFD 90%

Programming

Python 95%
NumPy / SciPy 90%
Git / CI-CD 82%
Linux / CLI 85%

AI & Machine Learning

Machine Learning 88%
Graph Neural Networks 82%
PyTorch 85%
Scientific Computing 87%

Get in Touch

Contact

I'm always open to discussing research collaborations, engineering projects, or opportunities in AI-driven simulation and computational mechanics.

Whether you're working on mesh generation, FEA automation, or applying machine learning to engineering problems — let's connect.

contact.sh

$ echo $INTERESTS

AI-Driven-Engineering FEA GNNs

$ cat availability.txt

Open to collaboration

$ _

Email

hello@example.com

LinkedIn

linkedin.com/in/yourprofile

GitHub

github.com/yourhandle

Resume

Download CV