• Designed and developed completely an internal configuration-driven API framework enabling dynamic read/write operations with Elastic and MongoDB which is currently supporting over 60+ Rest APIs in production.• Achieved rapid microservice creation with the framework which is allowing simple and moderate APIs to be developed in under 30 minutes.• Integrated service compatibility with service discovery to enhance system scalability and reliability.• Standardized development to deployment workflows by defining a common Spring template, best practices and streamlining the process for the entire team.• Optimized project performance by reducing 95th percentile response time from 9 seconds to ~200ms which also improved memory efficiency for Spring Boot applications.• Set up CI/CD pipelines using Jenkins, Udeploy, and OpenShift, automating the deployment process and improving delivery speed.• Reduced security vulnerabilities by optimizing base images with UBI micro and standardized package updates for a permanent reduction in risk.• Architected and designed a CDC pipeline with Kafka and Spring Boot Kafka Streams, enabling efficient data change tracking.• Implemented near-real-time data synchronization using Oracle MVLog, significantly enhancing data freshness.• Enhanced data synchronization performance by implementing multi-threading in Spring Boot, leading to faster and more efficient processing.• Established monitoring systems with Fluentbit, Prometheus, and Grafana to improve system observability and alerting.

• Architected and designed an AI-based learning application, leveraging Decision Streaming algorithms for intelligent decision-making.• Designed and implemented system architecture across both on-premises and AWS environments, utilizing EC2, Virtual Network, Route53, S3, and EBS.• Set up and managed infrastructure using GitLab, Jenkins, Portainer, Containerization and technologies like Python (Django), Java (Spring Boot), PostgreSQL, and Redis.• Developed and optimized core business logic in Java with Spring framework and designed AI logic in Python Django to ensure efficient and scalable application performance.• Designed and optimized database transactions using PostgreSQL stored procedures, with caching in Redis for enhanced performance.• Led and managed a team of 10+ in the development of an in-house AI project, overseeing hiring, project planning, and execution.• Conducted brainstorming sessions and led project planning using Agile Kanban methodology, ensuring effective task assignment and tracking.• Designed UI/UX using Adobe XD, and developed complex, responsive UIs with HTML, CSS, SASS, JavaScript, and jQuery.

• Collaborated with clients to gather requirements and address defects, ensuring clear communication and alignment.• Mentored new team members in Java and SQL, helping them quickly adapt to the team.• Prepared data in DB2 for development and client testing, ensuring data accuracy.• Developed and maintained features in a mortgage application using Java, Spring, and Spring JDBC, while ensuring system stability.• Worked extensively with Oracle and SQL Server environments, leveraging Java J2EE for development.• Gathered requirements and developed Oracle stored procedures to meet application needs.

• Designed, architected, developed, and implemented a comprehensive Electronic Medical Records (EMR) application system specifically for eye care hospitals, as well as a Guest House Management System, significantly improving operational efficiency and patient care management.• Integrated internal medical devices with EMR system using COM port to ensure seamless data exchange which enhanced accuracy of patient records• Implemented scheduler using Quartz library to synchronize a third-party booking system with the EMR application to automate appointment management.• Engaged with clients directly on-site to gather requirements, collect user feedback, and translate business needs into technical solutions, resulting in highly tailored solutions that met client expectations.