
Developed multi-account management capabilities for the praetorian-inc/praetorian-cli repository, focusing on the Aegis CLI to streamline agent discovery and administration across multiple accounts. The work introduced robust account-context switching, interactive account selection, and concurrent data loading using Python and concurrent programming techniques. By implementing thread-safe counters, retry logic, and deterministic sorting, the solution improved reliability and responsiveness for large-scale environments. Enhancements included consolidated agent and schedule views, progress indicators, and expanded UI elements such as agent status and OS indicators. The approach emphasized tenant isolation, context correctness, and test stability, leveraging API integration and full stack development skills.
April 2026 focused on delivering scalable, multi-account management in the Aegis CLI for Praetorian, enabling discovery and management of agents across multiple accounts with improved UX and reliability. The work established robust account-context switching, parallel data loading, and consolidated views of agents and schedules, driving faster administration and safer tenant isolation.
April 2026 focused on delivering scalable, multi-account management in the Aegis CLI for Praetorian, enabling discovery and management of agents across multiple accounts with improved UX and reliability. The work established robust account-context switching, parallel data loading, and consolidated views of agents and schedules, driving faster administration and safer tenant isolation.

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