• Enhanced efficiency by embedding AI in CI/CD pipelines for developer support. Improved security through automated vulnerability detection

• Achieved $5M in annual savings (2024) by reducing infrastructure overhead through resource tuning and strategic microservice consolidation into a high-efficiency monolith

• Set strategy and standards for monorepo development to ensure maintainability, performance, and efficiency

• Launched Confluence Whiteboards, a major new Atlassian product enabling real-time visual collaboration across distributed teams

• Optimized backend performance via database, JVM, and engineering best practices

• Increased SLA reliability from 66% to 99.95% through architectural and operational improvements

• Modernized legacy systems by upgrading Java to 17, Hibernate to 5, and Spring to 5, enabling improved stability, performance, and long-term support

• Enhanced system performance by redesigning caching libraries for Memcached and Redis, optimizing efficiency and scalability

Technology stack: Java, Spring, Spring Security, Redis, Postgres, Spark, Angular, Cloud Foundry, Jenkins, Akamai.

• Developed loyalty services using the Spark Framework for a U.S.-based multinational financial corporation, driving customer engagement and retention

• Optimized the delivery of advertisement campaign images to Akamai CDN, improving load times and content distribution efficiency

Led CPaaS platform development using Java, Kafka, Redis, and Kubernetes. Applied SRE principles to ensure scalability, reliability, and performance.

• Designed and deployed 4 production-grade microservices (Java & Kotlin) integrated with Redis, PostgreSQL, Kafka, MSSQL, and Elasticsearch, expanding the company’s service ecosystem

• Implemented monitoring for microservices in Infobip’s mobile messaging platform, enhancing system visibility and reliability

• Built internal portal UI pages with Vue.js to enhance usability and team productivity

• Implemented canary deployment pipelines using Jenkins Job DSL, enhancing release reliability and reducing production risk

• Contributed to infrastructure services deployed continuously to production in 9 data centers, supporting global scalability and operational efficiency

Building server applications with Java 8, RxJava, Apache Camel and Spring Boot for the largest sports organizations in the United States.

• Designed and implemented microservices within a four-tier application architecture using Java 8, RxJava, Spring, Hibernate, MongoDB, Apache Spark, Kafka, and Neo4j

• Improved system performance by 14% by designing and implementing a JMeter based performance testing strategy, identifying bottlenecks, and resolving critical issues

• Developed backend infrastructure for Apple TV, enabling support for 100k concurrent users using Java and Spring Boot

• Migrated 20 GB of data from MySQL to Neo4j by developing custom migration tools and refactoring a Spring Boot service to transition from MySQL to Neo4j for data operations

• Increased test coverage to 87% by setting up robust CI/CD pipelines with Jenkins CloudBees, introducing test automation, and integrating PMD for static code analysis to enhance code quality and reliability