♦ Spearheaded the data persistence layers using multi-table design within DynamoDB, considering single-table design and opting for better separation of concerns, with a focus on low latency and high elasticity in using DynamoDB
♦ Leveraged Typescript, Node.js, and AWS SDK v3 to create the Accounts Management Service, effectively maintaining sub 250ms p50 latency across accounts queries, improving the user experience and maintaining high scalability
♦ Developed the API Gateway, Lambda, and DynamoDB Email Signup Service utilizing AWS CDK v2, crafting the Lambda function in Python with the boto3 library to persist data in DynamoDB for clients registering for notifications
♦ Pioneered the ML Sentiment Analysis Integration, utilizing AWS Bedrock running serverless, stateless, and secure Foundation Models (Anthropic and Amazon Nova) for executive summaries and analysis of encrypted messaging
♦ Improved internal-user experience by developing on enterprise-scale docket entry quality control (QC) overhaul, consolidating work item displays across case groups and eliminating redundant manual processing for docket clerks
♦ Implemented RBAC middleware for Zendesk-integrated user deactivation workflow, ensuring secure administrative operations through granular permission validation
♦ Cut CI/CD pipeline time by ~55% by reducing GitHub Actions checks from 32 to 15 minutes (Node.js dependency caching + test parallelization) and CircleCI deployment from 42 to 19 minutes (p-limit concurrency, batch processing with Promise.allSettled(), and removal of obsolete jobs)