Carlos David M.

I build the code that generates the geometry — not just the render. I'm a computational bioengineer and 3D scientific visualization specialist. I develop anatomical models in Python (NumPy/SciPy) and bring them into Blender for publication-grade visualization. My work is peer-reviewable, not just pretty: I've authored an open, multi-layer geometric digital twin of the human kidney (Zenodo DOI 10.5281/zenodo.19508076, ORCID 0009-0005-3933-5072), with full audit trails and reproducible pipelines. What I do: - Procedural anatomical geometry — vascular trees, branching networks, and organ structures generated from data or first principles (space colonization, Murray's law, Strahler ordering), not hand-modeled. - Scientific visualization — photorealistic Blender renders and animations of biomedical structures for papers, grant applications, investor decks, and conference talks. - Reproducible data-to-visual pipelines — Python→Blender workflows where a single config regenerates the entire figure set at any resolution. Tools: Python (NumPy, SciPy, Matplotlib), Blender (Geometry Nodes, Cycles/EEVEE, bpy scripting), SketchUp, Git. Previous client: scientific animation for a research group in the nuclear medicine field. Fluent English, native Spanish. Tell me what you need to show, and I'll tell you honestly whether I'm the right person for it.