Joseph User

Automated repetitive tasks with custom Python scripts using ADSK, Numpy, and Pandas, reducing manual workload by over 50%. Developed ML-integrated tools to streamline production workflows and reduce decision time in design stages. Created dynamic, parameterized Fusion 360 tools adaptable to a wide range of custom fabrication jobs, increasing reuse across departments.

Automated repetitive tasks using custom Python scripts with ADSK, Numpy, and Pandas, reducing manual workload by over 50%. Developed ML-integrated tools and dynamic, parameterized Fusion 360 tools to streamline production workflows and increase reuse across departments.

Designed Python-based automation scripts that translated luthier-designed shapes into CNC-ready outputs, reducing order-to-manufacture time by over 90%. Optimized in-shop workflows by embedding production logic directly into Parametric Models, leading to increased throughput and reduced manual intervention.

Pitched and prototyped a new database model using the Suggested Upper Merged Ontology (SUMO), enhancing semantic query resolution for internal tools. Defined and structured several hundred hierarchical terms for a syntax tree to be consumed by language models. Collaborated with linguists to internationalize and localize terms for global product alignment.

Designed Python-based automation scripts that translated luthier-designed shapes into CNC-ready outputs, reducing order-to- manufacture time by over 90%. Optimized in-shop workflows by embedding production logic directly into Parametric Models. Transitioned to consulting role after significantly increasing throughput and reducing need for manual intervention.

Pitched and prototyped a new database model using the Suggested Upper Merged Ontology (SUMO), enhancing semantic query resolution for internal tools. Defined and structured several hundred hierarchical terms for a syntax tree consumed by language models and collaborated with linguists on internationalization and localization.