● Developed MERN microservices, integrating MongoDB to streamline data processes, achieving a 30% boost in retrieval efficiency.

● Employed React.js and GraphQL for frontend optimization, enhancing user interaction and boosting engagement metrics by 20%.

● Engineered Node.js matchmaking algorithms for a dating app, increasing user compatibility by 50% through tailored preferences.

● Enhanced web navigation via React.js, mitigating user action times by 35% and significantly improving overall site usability.

● Leveraged Express.js and Agile practices in backend development, enhancing system resilience and speeding up deployment cycles.

● Applied Docker and Jenkins for CI/CD pipelines, streamlining development workflows and improving deployment efficiency by 40%

● Reduced response times by 30% using Java Spring Boot and REST APIs, leveraging Microservices for scalable architecture.

● Automated regression testing, reducing it by 75% with Selenium, Java, TestNG, and JUnit, enhancing test accuracy and speed.

● Halved deployment time by 50% by establishing CI/CD pipelines with Jenkins, achieving faster releases and consistent environments.

● Incorporated Agile and Kanban methodologies to elevate team productivity by 40%, using JIRA for project tracking and management.

● Optimized Spring Boot applications using Redis for caching, MongoDB for data storage, significantly boosting runtime efficiency.

● Streamlined dev setups using Docker for containerization & Kubernetes for orchestration, elevating scalability and project delivery times.

● Developed a Django dashboard integrating TensorFlow for predictive analytics, increasing user satisfaction rating by 30%.

● Improved data flow by 25% combining SQL enhancements, NoSQL flexibility, Redis caching, and Kafka streams.

● Augmented workflows adopting Agile Scrum techniques and accelerated project delivery and team collaboration with JIRA tracking.

● Upgraded application search with ElasticSearch, significantly enhancing data retrieval and user search experience.

● Utilized AWS EC2 instances to host and scale Node.js and Express.js microservices, improving resilience and operational efficiency.