
Over a three-month period, contributed to the smartuni/riot-po-2025 repository by developing hardware assets and workflows for the SenseMate project. Delivered expanded connector footprint libraries, refactored schematics, and improved onboarding documentation using KiCad and PCB design skills. Advanced hardware readiness by consolidating 3D printing assets in STL and G-code formats, refining casing designs, and updating PCB layouts for manufacturing. Established a reproducible CAM workflow, generating version-controlled fabrication assets to support rapid prototyping and traceability. The work emphasized iterative development, manufacturing reliability, and cross-functional collaboration, resulting in a robust foundation for scalable hardware production and streamlined future automation efforts.
July 2025: Delivered SenseMate 3D PCB fabrication assets and established a reproducible CAM workflow in smartuni/riot-po-2025. The key deliverable was G-code generation for the SenseMate 3D PCB design, enabling fabrication of the new PCB. No major bugs fixed this month. Overall impact: shortened hardware iteration cycles, improved manufacturing readiness, and stronger traceability of fabrication assets. Technologies/skills demonstrated: G-code generation, CAM workflow integration, version-controlled fabrication assets, and cross-functional collaboration across hardware and software teams.
July 2025: Delivered SenseMate 3D PCB fabrication assets and established a reproducible CAM workflow in smartuni/riot-po-2025. The key deliverable was G-code generation for the SenseMate 3D PCB design, enabling fabrication of the new PCB. No major bugs fixed this month. Overall impact: shortened hardware iteration cycles, improved manufacturing readiness, and stronger traceability of fabrication assets. Technologies/skills demonstrated: G-code generation, CAM workflow integration, version-controlled fabrication assets, and cross-functional collaboration across hardware and software teams.
June 2025 monthly performance summary for smartuni/riot-po-2025 focused on advancing SenseMate hardware readiness through consolidated 3D printing assets, iterative casing refinements, and manufacturing-ready PCB design updates. Delivered a complete 3D printing asset package (STL/G-code) and prepared first-sample readiness with multiple iterations. Completed SenseMate casing refinements (second draft) with chamfer improvements and printable formats. Updated PCB designs to enable reliable manufacturing and assembly, including revised footprints, drill maps, and a motor connector change to a 2-pin header, with new PCB drafts. These efforts reduced downstream iteration time, improved assembly reliability, and strengthened version control traceability, positioning SenseMate for scalable production.
June 2025 monthly performance summary for smartuni/riot-po-2025 focused on advancing SenseMate hardware readiness through consolidated 3D printing assets, iterative casing refinements, and manufacturing-ready PCB design updates. Delivered a complete 3D printing asset package (STL/G-code) and prepared first-sample readiness with multiple iterations. Completed SenseMate casing refinements (second draft) with chamfer improvements and printable formats. Updated PCB designs to enable reliable manufacturing and assembly, including revised footprints, drill maps, and a motor connector change to a 2-pin header, with new PCB drafts. These efforts reduced downstream iteration time, improved assembly reliability, and strengthened version control traceability, positioning SenseMate for scalable production.
May 2025: Delivered substantive design library expansion, major schematic refactor for SenseMatePCB, and essential project onboarding updates. The work improves design flexibility, reliability, and team ramp-up, enabling faster iterations and better data integrity.
May 2025: Delivered substantive design library expansion, major schematic refactor for SenseMatePCB, and essential project onboarding updates. The work improves design flexibility, reliability, and team ramp-up, enabling faster iterations and better data integrity.

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