Architected and developed a payment orchestration microservice using Java 17 and Spring Boot, implementing concurrency controls (CompletableFuture, bounded thread pools) to safely route transactions across multiple funding sources under peak traffic conditions.

Contributed to the design and rollout of an event-driven settlement pipeline using Kafka and AWS SQS, implementing idempotent consumers and dead-letter queue handling; stabilized cross-region processing for multi-million payment events during failover simulations.

Improved API throughput by refactoring Hibernate batch processing and connection pool sizing after identifying lock contention during load testing, increasing sustained transaction handling capacity from 7,500 TPS to 12,800 TPS.

Implemented distributed tracing and metrics using Datadog and Prometheus, reducing detection time from 18 minutes to under 6 minutes.

Developed automated integration and contract testing frameworks (JUnit 5, Mockito, Testcontainers, PACT) across 14 service dependencies, reducing regression incidents.

Implemented service-to-service communication management using Istio service mesh, enabling traffic routing, fault injection, and observability, which improved system resilience and reduced cross-service failure impact during high-load scenarios.

Supported low-level design for checkout APIs, defining caching (Redis), rate limiting, and circuit breaker implementation (Resilience4j).

Collaborated on the development of an internal Generative AI-powered clinical documentation assistant using Java (Spring Boot) integrated with Azure OpenAI APIs; reduced documentation turnaround time by 1.2 hours per care coordinator weekly during pilot rollout.

Built secure healthcare backend services using Java, Spring MVC, and Hibernate for member eligibility and prescription tracking workflows, ensuring HIPAA-compliant data handling and audit traceability.

Optimized JPA entity mappings and lazy-loading strategies, reducing claims retrieval latency from 2.1 seconds to 1.2 seconds during peak.

Designed RESTful APIs for prior-authorization workflows with role-based access controls and audit logging; supported processing of tens of thousands of weekly authorization requests across retail and specialty systems.

Engineered secure microservices using Java 11, Spring Boot, and Spring Security (OAuth2 + JWT) for digital banking onboarding and fund transfer workflows supporting millions of retail customers.

Constructed internal banking dashboards using Angular (internal operations portal) and React/Next.js (customer-facing interface), improving load time from 3.4 seconds to 1.6 seconds through frontend optimization techniques.

Designed high-volume transaction processing systems using PostgreSQL and Redis caching, reducing peak transfer latency from 2.4 seconds to 850 milliseconds through query tuning and caching strategy redesign.

Applied idempotent transaction handling and distributed locking to prevent duplicate payments, eliminating reconciliation discrepancies.

Built reconciliation workflows using Spring Batch and controlled parallel processing, handling hundreds of thousands of daily transaction records for end-of-day financial settlement.

Provisioned AWS infrastructure using Terraform, defining reusable modules for VPCs, RDS, and EKS clusters; reduced environment provisioning time from 3 days to 4 hours across Dev, QA, UAT, and Prod.

Architected and developed RESTful APIs for a retail Order Management System using Java 8, Spring Boot, and Hibernate, enablin g order placement, inventory validation, and fulfillment workflows across 1,200+ stores with consistent transactional integrity.

Tuned MySQL query execution plans and implemented composite indexing strategies, reducing order lookup latency from 4.8 seconds to 1.9 seconds and improving batch reconciliation throughput during nightly settlement cycles.

Formulated Kafka-based event-driven inventory synchronization between POS systems and warehouse services, ensuring near real-time stock consistency and reducing manual adjustment tickets by 320 per quarter.

Containerized microservices using Docker and supported AWS deployments via Jenkins CI/CD pipelines, improving release consistency and reducing environment-related deployment issues.

Designed and implemented database partitioning and read-replica strategies for high-volume order data, improving query scalability and reducing peak query latency by 35% while ensuring consistent performance under transaction loads.

Enhanced service reliability by implementing retry mechanisms with exponential backoff and centralized logging with distributed tracing (OpenTelemetry), reducing mean time to resolution (MTTR) by 60% and improving failure handling across services.

Increased unit and integration test coverage using JUnit and Mockito, lowering production defect leakage and improving release stability.