• Led the design and implementation of a Python-based (pyATS) test automation framework that reduced CI/CD pipeline runtime by 49%. Engineered a ChatOps-driven system (FastAPI, Webex) for self-service build queuing, providing real-time status monitoring and automated failure notifications for an 11-person team.

• Enhanced Meraki Cloud Management by implementing the CLI/NETCONF framework for L3 routed port

and Management VRF uplinks, and engineered a reliable TDL-based messaging system between subsystems with ACK-based retries and a circular buffer to ensure guaranteed, exactly-once delivery.

• Improved platform serviceability and debugging efficiency by creating a CLI-driven packet capture tool for encrypted traffic and an automated log collection system for the test framework, providing immediate access to comprehensive diagnostic data upon failure.

• Devised and executed a precise and scalable strategy for extracting data points from a 2D image using Kubernetes, machine learning models, and computer vision libraries, accessible through a REST API interface.

• Orchestrated React web app with real-time ML scanning for hands-free image capture, while streamlining order management through a React Native dashboard, yielding a substantial ~40% order processing time decrease.

• Achieved an ~80% reduction in deployment build times through streamlined strategies (Github Actions, Docker, Google Cloud Build, GKE), and established robust security architecture and data retention practices for Firebase-based backend.

• Developed and deployed software to streamline attribute modifications for millions of phone numbers, including routing address (NNID) transfers and enabling SMS functionality (Spring Boot and DynamoDB). The tool saves 1.5 hours per 100,000 numbers moved, and serves as a central source for error propagation from various sub tools.

• Designed and implemented authentication middleware, enhancing security and access control for application users. Integrated optimistic locking mechanisms to prevent database conflicts, enhancing data integrity and concurrency control.

• Engineered end-to-end testing that adapts based on environment, enhancing reliability and quality.

• Enabled fully automated CDK and GitHub Actions deployments, eliminating manually touching the production AWS environment