Specialized engineering for complex 3D data. I build state-of-the-art (SOTA) models using Geometric Deep Learning to analyze 3D meshes and point clouds. This service is ideal for advanced medical modeling, orthopedics, or industrial 3D analysis.

Core Capabilities:

Graph Neural Networks (GNNs): Implementing PyTorch Geometric for non-Euclidean data.

Mesh Segmentation: Functional part-segmentation and surface analysis for 3D anatomical models.

3D Object Detection: Custom frameworks for recognizing complex structures in volumetric data.

Point Cloud Processing: Denoising, registration, and classification of sparse 3D datasets.

I bridge the gap between academic research and production-ready 3D AI pipelines.