
Developed a CPU utilization–aware capacity planning enhancement for the Netflix-Skunkworks/service-capacity-modeling repository, focusing on improving the accuracy of resource allocation and forecasting. Leveraged Python and backend development skills to integrate real-time writer CPU utilization into Aurora capacity calculations, introducing a utilization buffer to better estimate required resources based on observed usage. The work involved adding new functions and refactoring existing logic to base recommendations on current utilization metrics, supporting more reliable scaling decisions and potential cost efficiency. Demonstrated expertise in capacity planning and resource management by incrementally improving the system’s ability to forecast and provision infrastructure based on live metrics.
April 2026 monthly summary: Primary focus on delivering CPU utilization–aware capacity planning enhancements in the Netflix-Skunkworks service-capacity-modeling repo. No major bugs fixed this month. The work improves resource allocation accuracy and forecasting, supporting better scaling decisions and potential cost efficiency.
April 2026 monthly summary: Primary focus on delivering CPU utilization–aware capacity planning enhancements in the Netflix-Skunkworks service-capacity-modeling repo. No major bugs fixed this month. The work improves resource allocation accuracy and forecasting, supporting better scaling decisions and potential cost efficiency.

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