Skills & Tools

Machine learning frameworks, programming languages, engineering simulation software, and lab instrumentation I use in applied AI/ML and mechanical engineering research.

Machine Learning & AI
PyTorch TensorFlow Scikit-learn CNNs Transformers Explainable AI (xAI) Physics-Informed Neural Networks (PINNs) Unsupervised Clustering Synthetic Data Generation
Programming & Tooling
Python MATLAB C Git / GitHub MPI / HPC LaTeX Sphinx Software Release & Documentation
Modeling & Simulation
COMSOL Multiphysics Ansys Elmer OpenFOAM HITRAN / HAPI SOLIDWORKS Siemens NX Digital-Twin Modeling Generative Design
Instrumentation & Hardware
THz / IR Spectroscopy Sensor & Gas-Cell Design NI DAQ LabVIEW Arduino Machining & 3D Printing Schlieren Imaging

See AI/ML Projects for published research and advised class projects that put these tools to use, or my Google Scholar profile for the full publication record.