Working in Computer Graphics and Machine Learning, with a focus on CAD systems, boundary representation (B-Rep), and geometric modeling, and their role in representing and analyzing complex geometric structures.
Using Large Language Models to guide material inference and reasoning over 3D point clouds and CAD models, bridging language understanding with geometric data.
LLMs 3D Point Clouds MultimodalDeveloping better formats and datasets for B-Rep modeling, including topology-aware meshing and half-edge data structures for CAD applications.
B-Rep STEP Files CADLearning robust representations of 3D geometric data through multimodal models, combining visual features with structural and material properties.
Deep Learning Representation Learning 3D DataInstructor for CSC 115: Fundamentals of Programming II.
Led tutorials and labs for undergraduate and graduate CS courses. Mentored students on ML, algorithms, and software engineering.
Designed ML pipelines for large-scale CAD datasets, implemented evaluation metrics for CAD model validity, and worked with multimodal models combining geometric data with learned representations.
Applied AI governance and deployment in a production government environment. Integrated AI tools with attention to reliability, performance, and stakeholder needs.
I'm always open to discussing research collaborations, speaking opportunities, or questions about my work in ML and computer graphics.