Implemented large-scale distributed query system with gRPC for CloudWatch Logs Insights with high-performance query speed.

Improved CloudWatch Insights related APIs such as QueryDefinition with better mechanism for error handling and decreased false-positive error translation.

Automated pipeline deployment workflow such as clean stale server hosts to save hundreds of developer hours per year.

Implemented developer shell commands & metrics alarms for CloudWatch Logs for more efficient service maintenance.

Developed regression and unit test cases for test automation by JUnit4 and Mockito.

Improved cloud resource management and saved ~$450K per year.

Identified unused resource groups in Azure by calling Citrix internal APIs with Python Request library.

Analyzed Virtual Hard Disk (VHD) usage with Python and applied an optimized retention policy in deployment with PowerShell to save spending.

Collaborated on a script to query virtual machines (VMs) under subscriptions and install packages remotely on each VM.

Created a cost analyzing GUI tool supporting SQL query, data filtering and analysis, visualization and identification of unused Azure subscriptions with Tkinter and Pandas in Python.