● Architected secure, event-driven microservices using Spring Boot, Spring MVC, and Kafka to support high-volume transaction and payment workflows, processing 2M+ daily events with sub-second latency and high fault tolerance.

● Engineered enterprise authentication and authorization layers with Spring Security and JWT, enforcing role-based access across distributed APIs and reducing unauthorized access attempts by 40% while meeting internal security and audit controls.

● Developed React.js-based internal dashboards for risk and compliance teams, improving real-time data visualization performance by 35% and enabling faster operational decision-making.

● Automated end-to-end CI/CD pipelines using GitHub Actions, integrating JUnit testing, build validation, and container image deployment to AWS EKS and EC2, reducing release cycles by 45% and minimizing production deployment failures.

● Designed and integrated LLM-powered developer tooling using OpenAI APIs and LangChain, enabling intelligent incident diagnostics and knowledge retrieval, reducing MTTR by 25%.

Special event facilities

● Designed and executed scalable RESTful microservices using Spring Boot and Spring REST to handle complex industrial automation workflows, improving system throughput by 30% and reducing API response time by 25%, while ensuring seamless integration with legacy systems.

● Developed and secured authentication and authorization mechanisms using OAuth2, protecting sensitive operational data across multiple distributed systems, which reduced potential security breaches by 35% and ensured compliance with internal governance policies.

● Led the development of Angular-based real-time monitoring dashboards, integrated Redis distributed caching and asynchronous data retrieval, reducing data access latency by 40% and improving dashboard responsiveness.

● Led a team of 6 engineers in designing and deploying microservices through automated CI/CD pipelines, achieving 75% test coverage and reducing post-release defects by 40%.

● Engineered and deployed containerized applications with Docker, orchestrated via AWS CloudFormation and API Gateway, streamlining environment provisioning, reducing deployment time by 50%, and ensuring consistent, repeatable production releases.

● Incorporated Apache Kafka messaging to enable event-driven communication across distributed services, enhancing real-time data processing reliability by 30%, supporting predictive analytics, and facilitating operational decision-making across multiple business units.

● Established and maintained Angular and TypeScript-based web applications, implementing responsive UI components with Tailwind CSS, improving user interface performance by 30%, and enhancing overall application usability.

● Developed Spring Boot microservices for Industrial IoT data management, seamlessly integrating with the Insights Hub (Mindsphere) platform, boosting data collection efficiency by 35%, reducing processing time by 30%, and enhancing insights delivery speed by 25%.

● Crafted and implemented RESTful APIs using Spring MVC, Spring Data JPA, and Spring ORM as part of a Service-Oriented Architecture, enabling seamless integration with internal systems and reducing API latency by 25%.

● Built automated testing and CI/CD pipelines using TDD, Jenkins, GitLab, Postman, and SoapUI, improving deployment reliability by 40% and reducing production defects through early defect detection.

● Designed message-driven workflows using RabbitMQ, enabling reliable asynchronous communication between microservices while maintaining strong data consistency in PostgreSQL.

● Monitored and analyzed system logs and application performance using ELK Stack (Elasticsearch, Logstash, Kibana) on Azure, identifying bottlenecks and implementing solutions that improved system uptime by 20%.