Full Stack Software Engineer

Engineered HIPAA-compliant microservices supporting clinical workflows, increasing throughput of patient data exchanges by 22% while reducing latency by 17% during peak usage. Implemented secure role-based access controls and audit logging, decreasing PHI exposure incidents by 15% and enhancing compliance with healthcare regulations. Collaborated with clinical informatics and product teams to develop FHIR API integrations facilitating interoperability with Epic and Cerner EHR systems, improving care coordination efficiency by 18%. Optimized SQL Server database queries and introduced caching layers that accelerated clinical decision support response times by 16%, enhancing provider workflow productivity. Led cross-functional workshops to elevate team proficiency on health data standards such as HL7 v2 and FHIR R4, raising interoperability implementation success by 30%.

Architected and delivered a React/Redux frontend coupled with Node.js microservices backend for mortgage underwriting platform handling $840M in loan volume, reducing approval cycles by 34%. Devised AWS Step Functions and Lambda orchestrations to automate 17 underwriting processes, cutting manual processing by 63 hours weekly and boosting data accuracy by 28%. Developed AI-powered document classification pipelines using AWS SageMaker and S3, achieving 91% classification accuracy and halving manual review times. Implemented GraphQL APIs and RESTful services for 14 backend microservices, improving cross-team integration velocity by 41% and decreasing average API latency from 890ms to 340ms. Streamlined CI/CD pipelines with AWS CodePipeline and ECS Fargate, accelerating deployment frequency threefold while maintaining rigorous PCI DSS security standards. Partnered with UX and product management to define MVPs and phased delivery plans for eight initiatives, enabling earlier business value realization by six weeks.

Developed a fintech payment platform using Node.js, React, and TypeScript incorporating AI-driven payment routing algorithms, reducing transaction latency by 43% across 127,000 monthly blockchain transactions. Integrated OpenAI and Claude LLM APIs with DynamoDB vector stores to enhance fraud detection workflows, lowering false positive rates by 33% while sustaining 99.7% system availability. Designed event-driven architectures using AWS Lambda and Step Functions for distributed payment processing, cutting operational overhead by 38% and enabling real-time transaction monitoring. Established automated CI/CD pipelines via GitHub Actions and AWS ECS supporting SOC 2 compliant deployments, shrinking release cycles from six weeks to nine days. Built MLOps observability dashboards with AWS CloudWatch for AI model performance, facilitating delivery of 22 AI-enhanced features with 97% uptime and reliability.