Angelo Scandaliato is a pragmatic software engineer and leader with over 17 years of experience translating computational R&D into production-grade systems, currently building connected hardware test and operations software. He blends applied mathematics and hands‑on engineering—design, coding, review, testing and on‑call—with 4+ years of direct people leadership to deliver resilient full‑stack, cloud and real‑time distributed platforms. His background spans CFD, optimization and sensor-fusion algorithms to platform developer tooling and ML-driven optimization, enabling him to unify evolving requirements into robust systems. Angelo has shipped low-level real‑time libraries (e.g., motion-sensor Kalman filter stacks) and contributed to the widely used assimp project by improving glTF export and skinned mesh support, reflecting a comfort with both algorithmic depth and practical interoperability. Based in Los Angeles, he advises and leads fractional engagements through his firm while scaling software teams for industrial manufacturing and production systems.
11 years of coding experience
10 years of employment as a software developer
University of California, San Diego
Case Western Reserve University
Bachelor of Arts (B.A.) Mathematics and Physics, Bachelor of Arts (B.A.) Mathematics and Physics at Queens College
The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.
Role in this project:
Back-end Developer
Contributions:31 commits, 4 PRs, 1 comment in 18 days
Contributions summary:Angelo's commits primarily focus on enhancing the glTF exporter within the Assimp library. They implemented features to calculate and write minimum and maximum attributes for accessors and added functionality to include samplers for textures. Further contributions include fixing issues related to texture coordinate buffer view targets and adding skinning and joint information for skinned meshes. The user also worked on animation export including keyframe data.
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