3D Modeling and Python Specialist — Xelron (AI 3D Asset Collection Project)
Created collision-accurate 3D mesh assets from 2D masked and RGB reference imagery to support structured downstream annotation workflows. Generated geometric reconstructions using Blender Python scripts and validated mesh alignment through screenshot audits and QA checklists. Exported finalized low-poly assets in .obj/.glb formats while maintaining trajectory logs for sequential build actions. • Built procedural collision meshes using geometric primitives (cubes, spheres, cylinders, cones) and Boolean operations (union, subtraction, extrusion). • Produced structured JSON/JS outputs alongside build trajectory logging for high-volume asset generation. • Performed alignment validation against reference imagery to ensure annotation-ready consistency. • Enforced strict file naming conventions and asset quality assurance procedures.