Consulting
Design and implementation of 3D imaging workflows for industrial inspection, non-destructive testing, and quality assurance. Typical work includes porosity and inclusion analysis, wall-thickness mapping, dimensional inspection, nominal-versus-actual comparison, and defect analysis for safety-critical or precision-manufactured parts.
3D imaging pipelines for biomedical research, medical-device evaluation, anatomical structure analysis, segmentation, quantitative measurement, and generation of downstream geometry for research and engineering teams working with volumetric data.
Integration of AI-based segmentation into practical workflows, including validation steps, human-in-the-loop review, batch execution, scripting, and repeatable reporting. The aim is to make automated analysis reliable and usable in real engineering or research settings.
Surface extraction, mesh repair, registration, alignment, and export workflows that carry imaging data into CAD, CAE, additive-manufacturing, or finite-element pipelines. This is where measurement and visualization need to become engineering-ready assets.
Production-grade desktop software architecture for 3D imaging applications, including C++ core modules, visualization pipelines, Python or CLI automation, custom tools, and workflow-focused UI design for teams building long-lived internal or commercial platforms.
I am most useful when a team has a technically demanding 3D imaging problem that needs to move beyond prototypes or fragmented tooling. That usually means complex volumetric data, non-trivial segmentation or measurement requirements, and a need for robust implementation rather than presentation-only work.
