Architected Java & Spring Boot microservices supporting healthcare supply chain and payer analytics platforms, processing $80M+ annualized claim data.

Improved API throughput by 17% through performance tuning, concurrency optimization, and efficient service design.

Built event-driven data pipelines using Apache Kafka, increasing near-real-time data availability by 22%.

Deployed AI/ML inference services on AWS SageMaker, improving anomaly detection accuracy by 15% and reducing manual claims review.

Designed secure PostgreSQL persistence layers, optimizing schemas and queries to cut processing latency by 20%.

Developed cloud-native ETL pipelines using AWS Glue, Lambda, and S3, enabling $150M+ medical spend reporting.

Implemented HIPAA-compliant security controls (encryption, RBAC) and maintained 99.9% production uptime.

Built backend modules using Java, Spring MVC, and MySQL, supporting 120,000+ monthly transactions under concurrent load.

Developed React.js & Next.js frontend interfaces, improving user task efficiency by 18%.

Implemented asynchronous messaging with RabbitMQ, reducing synchronous processing load by 30%.

Integrated Python-based ML models (scikit-learn) via REST APIs, improving classification accuracy by 15%.

Containerized services with Docker & Kubernetes and automated CI/CD with Jenkins, reducing deployment issues by 25%.

Developed backend services using Python & Flask, supporting 15,000+ monthly records.

Built Angular & TypeScript UI components, improving reporting accuracy and turnaround time.

Collaborated in Agile teams using Git, SQL, and sprint-based delivery, increasing release consistency by 15%.