Professional Experience

Architected and own AWS serverless contact center platform with 100+ Amazon Connect flows and 50+ Lambda services. Implemented AI-powered self-service across IVR and chat using AWS Bedrock and Claude LLM for intent handling and response generation. Deployed Amazon Connect Chat on Petco.com via CloudFront, reducing IVR agent workload. Built automated Salesforce case creation via Lambda, decreasing manual ticket errors by 90% and accelerating case resolution by 35%. Achieved 99.95% uptime across event-driven infrastructure with DynamoDB, SNS, S3, Kinesis, and CloudFormation. Managed and mentored a team of 5 engineers reporting directly to Director-level leadership supporting a ~$6B revenue business.

Led front-end architecture for USAA (Fortune 500 U.S. Banking Client) using React and TypeScript, supporting customer-facing financial platforms used by hundreds of thousands of users. Built and integrated REST APIs powering real-time account dashboards and high-volume transaction workflows, cutting data retrieval latency by 50%. Established Jest and React Testing Library standards reducing bugs by 30%. Integrated AWS Lambda backend services cutting infrastructure costs by 40% and reducing server downtime by 40%.

Early engineering hire (#3), working directly with founders to design and build the DataTwin financial automation suite from scratch: tax reconciliation, partner payouts, fixed asset reconciliation, and lease accounting systems. Built full-stack applications with React, Node.js, DynamoDB, MongoDB, and Neo4J for complex financial data relationships. Architected event-driven backend systems using AWS Lambda, SQS, and Step Functions for high-volume financial data processing and audit-ready reporting. Implemented IaC with Terraform achieving 30% reduction in deployment time and 20% decrease in infrastructure costs.

Developed full-stack ERP and office automation systems using AngularJS, PHP, and MySQL for small to mid-sized business clients. Improved application responsiveness by 25% and reduced page load times by 15%. Integrated AWS Lambda for automated data processing reducing manual data entry errors by 25%. Optimized MySQL query performance cutting query times by 20% and boosting data retrieval efficiency by 25%.