
Gerald Limbando developed core features for the tazama-lf/case-management-system, focusing on AI-driven alert prioritization and case management workflows. He implemented a TriageService that uses AI-generated priority scores with configurable thresholds and cron-based recalculation to streamline incident triage and improve SLA compliance. Gerald also built a dashboard for viewing, creating, and reassigning cases, featuring a sortable and searchable UI with modal flows. His work included backend enhancements in Node.js and TypeScript, auto-assignment logic, and safeguards for task updates. He updated onboarding documentation for Prisma and frontend setup, and added Jest-based unit tests to ensure reliability and maintainability of triage workflows.

September 2025 highlights: Implemented AI-driven alert prioritization with TriageService, adding configurable thresholds and cron-based recalculation to improve incident triage speed and SLA adherence. Released Case management dashboard enabling view/create/reassign with sortable/searchable UI and modal flows. Delivered Triage process enhancements with auto-assignment, safeguards against updates on completed tasks, and refactored task assignment logic for reliability. Updated onboarding docs with Prisma setup and frontend dev server guidance to shorten ramp time. Added tests for triage assignment workflows.
September 2025 highlights: Implemented AI-driven alert prioritization with TriageService, adding configurable thresholds and cron-based recalculation to improve incident triage speed and SLA adherence. Released Case management dashboard enabling view/create/reassign with sortable/searchable UI and modal flows. Delivered Triage process enhancements with auto-assignment, safeguards against updates on completed tasks, and refactored task assignment logic for reliability. Updated onboarding docs with Prisma setup and frontend dev server guidance to shorten ramp time. Added tests for triage assignment workflows.
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