• Architecting scalable micro frontends using React.js and Java Quarkus, enabling integration with Azure AI services.

• Spearheading the adoption of Azure OpenAI and GitHub Copilot across multiple engineering squads to automate

repetitive tasks and enable AI-driven pair programming, improving average PR turnaround time by 45%.

• Implemented prompt engineering patterns and Cognitive Services APIs for code summarization, intelligent search, and

documentation generation, reducing onboarding time for new developers by 30%.

• Built an AI-assisted bug reporting utility embedded directly into the internal portal UI that automatically captures screenshots, console logs, and network traces on button click, pre-fills expected/actual behavior and creates a DevOps work item via API — eliminating manual incident reporting for 800+ users.

• Engineered a Python-based data archival pipeline for Azure SQL Database holding over 40M rows, leveraging Azure Data Factory for automated ETL operations and Databricks for real-time data transformations and aggregations. Optimized SQL query performance, reducing retrieval times by 65% and minimizing storage costs through efficient data partitioning and SQL indexing.

• Shifted an existing batch processing pipeline to a data-driven architecture using Databricks, significantly enhancing real-time data processing and responsiveness. Implemented distributed processing patterns and optimized Spark jobs to handle high data throughput.

• Redesigned an outdated distributed microservices system using Kafka for event-driven data streaming, improving overall reliability and scalability by 30%. Integrated Redis caching and adopted design patterns like Circuit Breaker to ensure high availability in high-load conditions.

• Developed comprehensive technical documentation for the revamped architecture, detailing design patterns, microservices configurations, and scalability considerations for future enhancements.

• Implemented CI/CD with Azure DevOps, integrating GitHub Actions, automated testing, and deployment pipelines, enhancing code reliability and deployment speed by 60%.

• Led front-end feature enhancement using ReactJS within the MERN stack (MongoDB, Express, React, Node.js), improving user interface responsiveness and optimizing data flow between components with Redux and GraphQL for streamlined client-side state management.

• Executed full migration of the system code and database to MySQL 8, refactoring 40,000+ lines of Java and SQL code and updating 1800+ queries. Built automated testing workflows to validate API functionality, reducing manual testing by 50%.

• Enhanced backend performance by 40% through Redis caching, advanced MySQL indexing, and Java-Spring Boot optimization. Implemented data structures and algorithms to minimize response times for high-traffic queries, improving end-user experience in transaction-heavy environments.

• Integrated push notification services using Java, Spring Boot, and Firebase Cloud Messaging (FCM) to support real-time alerts for mobile applications.

• Designed a secure AWS-WAF firewall with custom rule sets to bolster application security and DDoS protection. Utilized OAuth and encryption methods for data protection in financial transactions.

• Led and mentored a team of four backend engineers in Agile development, focusing on Java design patterns (Factory, Singleton, Dependency Injection) and RESTful API design principles for scalable and maintainable codebases.

• Served as the primary contact for production issues across a highly distributed service infrastructure, providing on-call 24/7 support. Used monitoring tools like solarwinds for in-depth analysis, ensuring timely hotfixes and minimal downtime.

• Developed a secure transaction encryption model in FinTech using Java with AES and MD5 algorithms, enhancing ACH, Wire, and Check payment security. Integrated Keycloak for SSO and strong authentication.

• Optimized performance across 160+ APIs by adopting advanced data modeling with techniques inspired by Google Bigtable. Leveraged Redis caching and code refactoring to increase API response times and scalability.

• Guided a team of five interns on backend development with Java, SQL, and scalable design principles, ensuring the successful delivery of sprint tasks. Implemented Git-based version control and Jenkins for CI/CD.