Built high-performance microservices using Java, Spring Boot, and Hibernate for cross-border payment processing, handling currency conversion, routing, and idempotent payment flows, improving transaction success rate by 18% and reducing latency by 25% across multi-region distributed systems.

Designed and developed low-latency payment orchestration APIs integrated with Kafka event streaming (consumer groups, partitioning), processing 1M+ transactions/day and reducing currency processing delays by 25% through asynchronous and event-driven design.

Architected and deployed multi-region AWS infrastructure (EKS, RDS, DynamoDB, ElastiCache) using Terraform, implementing fault tolerance, autoscaling, and failover strategies, achieving 99.99% availability and reducing recovery time by 40%.

Optimized data access patterns using PostgreSQL, Hibernate, and Redis caching, implementing indexing and query tuning strategies, improving performance by 30% and reducing database load for high-frequency financial transactions.

Developed an AI-driven exchange rate prediction service using TensorFlow, integrated via REST APIs into payment systems, and leveraged a RAG-based pipeline for contextual financial insights, improving pricing accuracy by 12% in production workflows.

Implemented secure and compliant API communication using OAuth 2.0, JWT, TLS encryption, and rate limiting, ensuring adherence to global financial regulations (KYC/PCI) and protecting sensitive transaction data.

Designed and implemented A/B testing frameworks for payment flows, enabling experimentation on pricing and routing strategies, driving 9–12% improvement in conversion rates through data-driven decision-making.

Built real-time observability dashboards using Angular and integrated Splunk, Prometheus, and distributed tracing, improving system monitoring, reducing production issues by 35%, and accelerating root cause analysis.

Developed backend services using Java and Spring Boot, designing RESTful APIs for user workflows with proper API versioning and validation, improving response time by 20%.

Assisted in designing fault-tolerant microservice components by implementing retry and circuit breaker patterns, and supported production issue debugging and monitoring, improving system stability and gaining hands-on experience with real-world distributed systems.

Implemented authentication and authorization mechanisms using Spring Security and JWT, securing multiple application modules and reducing unauthorized access risks across user-facing APIs.

Containerized applications using Docker and supported deployments on AWS (EC2, S3), gaining hands-on experience in scalable cloud-native environments and automated deployment pipelines.

Wrote optimized SQL queries in PostgreSQL and contributed to CI/CD pipelines using Jenkins, assisting in debugging, testing, and improving deployment efficiency across environments.

Programmed a scalable microservices-based system using Java and MongoDB, enabling real-time order tracking for 50K+ daily transactions with subsecond latency through optimized data modeling and high performance NoSQL queries.

Built and deployed containerized applications using Docker and Kubernetes (EKS), implementing auto-scaling and rolling deployments, reducing deployment time by 65% and improving system scalability.

Developed RESTful APIs with rate limiting, idempotency, and API gateway integration, supporting order lifecycle and logistics systems with 99.9% uptime and secure, scalable request handling across distributed services.

Engineered a real-time data pipeline using Kafka and Apache Spark, enabling delay detection and route optimization, reducing delivery time by 20% and

improving data processing throughput by 35% through efficient stream processing and fault-tolerant data workflows across high-volume event streams.

Developed frontend dashboards using React.js to monitor live order data, improving operational visibility and reducing issue resolution time by 30% through intuitive UI design and real-time data visualization capabilities.

Implemented end-to-end observability using Prometheus, Grafana, and OpenTelemetry, enabling proactive monitoring and reducing incident detection time by 45% through distributed tracing, alerting systems, and performance metric analysis.

Applied secure API design practices using OAuth 2.0, JWT, and API gateways, ensuring compliance with enterprise security standards through authentication flows, encryption, and access control mechanisms.

Built CI/CD pipelines with Jenkins, integrated automated testing using JUnit and Mockito, and improved debugging workflows through structured test coverage, reducing incident resolution time by 40% and enhancing overall system reliability