Senior Software Engineer

Developed HIPAA-compliant DICOM pipelines and FHIR APIs for Amazon HealthLake Imaging, improving image retrieval and enabling secure, scalable healthcare workflows. Led design and implementation of Amazon HealthLake Imaging, storing petabytes of medical images from millions of studies, enabling AI radiology insights. Architected the FHIR-compliant API layer, enabling secure and interoperable access to imaging data for EHR integration. Built DICOM data processing pipelines in Python/Java with FHIR APIs for EHR interoperability, handling 150 MB per study. Designed and implemented AI/ML integration pipelines, connecting DICOM preprocessing workflows to SageMaker endpoints for automated image analysis and anomaly detection. Supported Kubernetes (EKS) deployment for scalable backend services and automated monitoring workflows. Developed event-driven Lambda workflows for image ingestion, validation, and metadata indexing in DynamoDB. Collaborated with cross-functional teams including product managers, ML scientists, and compliance officers to ensure HIPAA and HITRUST compliance. Mentored 6+ engineers, promoting CI/CD and Terraform/CloudFormation, reducing onboarding time by 30%. Operated in Agile/Scrum, managing sprints, backlogs, and stand-ups for efficient delivery.

Worked on high-performance e-commerce features and modular API integrations for Shopify Plus using Node.js and modern JavaScript frameworks. Designed and maintained Node.js APIs for real-time checkout workflows integrating Apple Pay, Google Pay, and PayPal, handling thousands of transactions per hour with near-zero errors. Automated front-end testing using Playwright and API testing with Jest, Supertest, improving regression coverage and reducing QA cycles by 30%. Implemented CI/CD pipelines with Jenkins and GitHub Actions, ensuring zero-downtime deployments. Monitored production systems using New Relic, CloudWatch, and distributed tracing tools to diagnose and resolve performance bottlenecks.

Modernized ETL systems into a cloud-native microservices platform using Node.js, REST APIs, and containerized deployments. Prototyped AI-driven patient routing services and leveraged GitHub Copilot for rapid code generation and test automation. Built Node.js microservices integrating Salesforce and SAP with JWT authentication for secure enterprise workflows. Created observability pipelines with custom dashboards and integrated alerts for on-call teams, reducing SLA violations. Migrated ETL pipelines to Snowflake and BigQuery, improving query performance for large-scale analytics.