Month: 2026-03 — Focused on elevating API usability and data integrity in ansys/pyaedt via a key data-format upgrade. No major bug fixes documented this period. The change enhances downstream data handling, reduces parsing complexity, and improves interoperability with external tools and workflows.

February 2026: Delivered a new EMI Heat Map Visualization Extension for the ansys/pyaedt repository, enabling GUI-based visualization of EMI results between two radio bands, with export to Excel and theme switching. The work is linked to commit dc3e16cb2f7a49d338b259196f81d453aed0ab57, with contributions from multiple authors. No critical bugs were reported this month. This feature strengthens EMI analysis workflow, accelerates reporting, and improves collaboration and reproducibility. Technologies demonstrated include Python extension development, PyAEDT integration, GUI design, data export to Excel, and theming support. The deliverable provides immediate business value by reducing manual analysis time and enabling quick, shareable EMI insights for design decisions.

2026-01: Delivered EMIT-related enhancements across two PyAED repositories with a focus on business value, usability, and maintainability. Key features: in ansys/pyaedt-examples, removed the EMIT GUI example from documentation and codebase to streamline EMIT explanations and reduce confusion (commit 1d47f9889db03d630c60d0613d5505371696977e). In ansys/pyaedt, introduced an EMIT extension enabling classification of simulation results by radio protection levels and interference types, including a GUI for configuration, Excel export, and theme switching (commit adf6966eb785bad3d701f943809386109e679c4b). Major bugs fixed: no customer-facing defects reported; documented cleanup reduces potential confusion and improves maintainability. Overall impact: accelerates value realization from EMIT features, enables data-driven analysis via Excel exports, improves configurability and user experience, and enhances cross-repo maintainability. Technologies/skills demonstrated: Python extension architecture, GUI development, Excel export integration, theming, code refactoring, and documentation hygiene across repos.