Google Cloud Universal Ledger (GCUL)

• Implemented and tested Horizontal Pod Autoscaling (HPA) for services in Kubernetes clusters on Google Cloud Platform (GCP), overcoming system design limitations and quota issues

• Used Go to automate autoscaling implementation in Kubernetes jobs deployment

• Designed and implemented garbage collection process in C++ for Bigtable-based storage, improving data management and read performance

• Authored guides and documentation to streamline GCP project creation processes for future interns

• Maintained strong communication with team members, provided regular updates, and aligned project outcomes with team objectives

Lodging Partners & Content

• Designed and implemented C++ distributed data-processing pipeline with podmate, using internal Apache Beam equivalent, to process 74 billion daily rows of Google Hotels data, analyze it, and visualize partner resource usage, helping team address security concerns

• Mastered team’s coding standards and tools by efficiently navigating large and complex codebase

• Queried Google Hotel’s database to better understand its structure

• Wrote 10-page design doc with podmate and iterated on it based on feedback from broader team

• Created comprehensive project documentation by developing internal webpage in Markdown, providing overview, linking Design Doc, and explaining dashboard graphs