• Designed and developed backend services using Java and Spring Boot to support warehouse automation workflows (e.g., order processing, task orchestration) across distributed systems.

• Built and maintained RESTful APIs for inventory updates, task assignments, and event handling, ensuring smooth communication between warehouse systems and automation tools.

• Implemented event-driven architecture using Apache Kafka, enabling real-time data flow and reducing 30% processing latency.

• Developed Python-based analytics and automation scripts to process warehouse operational data and support basic AIdriven insights, improving decision-making and reducing manual analysis efforts.

• Developed a Docker-based workstation emulation system to simulate warehouse scenarios, improving testing efficiency and reducing dependency on physical environments.

• Designed and optimized database solutions using PostgreSQL and MongoDB to manage high-volume operational data efficiently.

• Integrated Redis caching to improve the performance of frequently accessed data, achieving sub-100ms (under 0.1 seconds) API response times during peak operations.

• Used Azure Data Explorer and logging tools to analyze distributed system events and troubleshoot issues across services.

• Deployed microservices on Azure using Docker & Kubernetes, ensuring scalable and reliable warehouse automation operations.

• Created technical documentation and system workflows, reducing recurring production issues by 20–25% and improving team efficiency.

• Designed and developed a microservices-based subscription management platform using Java, Spring Boot, and Spring Cloud, supporting distributed billing and subscription workflows.

• Built and maintained RESTful APIs for subscription lifecycle management, payment processing, and invoice handling, ensuring reliable service-to-service communication.

• Implemented a Kafka-based messaging system to support asynchronous processing and improve system scalability across billing and notification services.

• Enhanced system performance using Redis caching, optimizing frequently accessed subscription data and improving API response times during peak usage.

• Designed and managed database architecture using MongoDB and PostgreSQL, ensuring efficient data handling for both transactional and non-relational data.

• Developed React.js dashboards integrated with backend services to provide users with real-time visibility into subscription status, billing history, and payments.

• Investigated and resolved production issues across distributed systems, supporting on-call activities and root cause analysis (RCA) to improve system stability.

• Deployed and managed microservices on Azure using Docker and Kubernetes, ensuring scalable and reliable application performance.

• Created and maintained technical documentation and system design artifacts, improving team understanding and reducing recurring issues.

• Developed backend services using Java & Spring Boot, building scalable APIs to support internal tools and workflows.

• Designed and implemented REST APIs for data processing and system integrations, ensuring reliable communication between services.

• Improved debugging and issue resolution by enhancing logging and monitoring practices, helping reduce investigation time and improve system stability.

• Integrated CI/CD pipelines using Jenkins and Maven, automating build, testing, and deployment processes to improve release consistency.

• Created technical documentation and knowledge base articles, supporting faster onboarding and reducing dependency on senior engineers.