End-to-End Ownership: Consistently owned features from requirements to production delivery, including architecture, implementation, and optimization.
Modernize Core Platform: Re-implemented legacy modules from Angular/Play to Python Django + Vanilla JS, improving maintainability across two parallel tech stacks.
Improve Reliability at Scale: Migrated state management to NgRx and later Angular Signals, eliminating data inconsistencies and improving rendering performance in complex, high-volume scheduling views.
Accuracy in Forecasting: Delivered prediction-based staffing variance calculations, improving hospital staff scheduling accuracy.
Architectural Leadership: Designed scalable staffing calculators (room + location level, rule merging, break coverage) and led key contributions to the IPF platform transition, reducing technical debt and ensuring feature parity.
Partner with Data Science on the Auto-Assign project, implementing all application logic (FE + BE) around the model to automatically generate staff schedules.
Performance Gains: Reduced API calls, added conditional triggering, introduced virtual scrolling; optimized data structures for faster processing; consolidated async pipes and added trackBy functions to speed up large list rendering; optimized tooltip directives to prevent memory leaks.