Architected and delivered an enterprise-grade property management system using Java/Spring Boot on AWS, resulting in 50% faster leasing processes and 70% improved maintenance response times for 10,000+ propertiesEngineered high-performance RESTful APIs for mission-critical integrations with payment gateways and CRM systems, processing $50M+ in annual transactions with 99.99% uptimeSpearheaded migration to microservices architecture using Docker and AWS EKS, reducing deployment time by 40% and achieving zero-downtime deployments across 20+ servicesImplemented infrastructure as code using Terraform & Ansible, reducing environment provisioning time from days to hours and achieving 100% automated deployment pipelinesOptimized data architecture by implementing MongoDB and Cassandra, handling 10TB+ of unstructured data with sub-millisecond query response times for 1M+ daily active usersEnhanced database performance through advanced SQL optimization & connection pooling, reducing average query execution time by 65% & supporting 5000+ concurrent usersDesigned and implemented event-driven architecture using Apache Kafka, processing 200K+ messages per second with guaranteed message delivery and fault toleranceStrengthened system security by implementing OAuth 2.0 and JWT authentication, ensuring GDPR compliance and securing sensitive data for 100K+ users across multiple regionsDeveloped advanced multithreading solutions in Java applications, achieving 25% improvement in processing speed &40% reduction in resource utilizationImplemented comprehensive monitoring solutions using AWS CloudWatch and Lambda, reducing system downtime by 80% & achieving 99.9% SLA complianceBuilt responsive and performant front-end components using React.js, resulting in 40% faster page load times and 60% improvement in user engagement metricsDesigned efficient data access layer using JPA/Hibernate, reducing database operations overhead by 35% and improving application response time by 45%

• Led the migration of legacy systems to Microservices using Spring Boot and Docker, significantly improving scalability and modularity.• Developed robust backend services using Java and Spring Boot, ensuring high availability and scalability.• Developed and deployed AWS-based solutions using EC2, S3, RDS, and Lambda, achieving a 30% reduction in infrastructure costs.• Implemented design patterns such as Singleton and Factory in Java applications to promote code reuse and reduce redundancy.• Automated continuous delivery pipelines using GitLab, Jenkins, and Maven, improving deployment speed by 50%.• Created RESTful APIs with Java and integrated them with front-end frameworks to deliver seamless user experiences.• Utilized React.js and AngularJS to develop responsive, mobile-first user interfaces for various applications.• Implemented AWS IAM policies and roles for secure access to cloud resources and services.• Employed Java’s CompletableFuture for asynchronous processing, improving response times for end-user requests.• Integrated AWS SNS/SQS for message queuing and event-driven processes within microservices.• Designed RESTful Web Services and SOAP APIs for internal and external communication, improving overall system integration.• Implemented caching with Redis, improving application performance by reducing database calls by 20%.• Conducted unit testing with JUnit, Mockito, and SonarQube, ensuring high-quality, bug-free code.

Led the successful migration of a monolithic application to a microservices architecture using Spring Boot, resulting in 40% improved application performance and 99.9% system availability on AWS CloudArchitected and implemented highly scalable RESTful APIs using Spring Boot and AWS Lambda, handling 1M+ daily requests with 30% reduced latency and 50% cost savings through serverless computingEstablished a robust CI/CD pipeline using Jenkins and GitLab, reducing deployment time from 2 hours to 15 minutes and achieving 90% test automation coverageSpearheaded the development of modern front-end applications using React.js and AngularJS, resulting in 35% improvement in user engagement and 25% reduction in page load timeImplemented an event-driven architecture using Apache Kafka, processing 100K+ events per second with 99.99% reliability, enabling real-time data synchronization across microservicesOptimized infrastructure provisioning through Terraform and AWS CloudFormation, reducing environment setup time by 40% and achieving 100% infrastructure as code coverageEngineered comprehensive monitoring solutions using AWS CloudWatch, reducing system downtime by 60% through proactive alerting and achieving 99.9% SLA complianceEnhanced application performance through advanced Java optimization techniques, reducing memory usage by 30% and improving response times by 45%Implemented enterprise-grade security using OAuth 2.0 and JWT, ensuring GDPR compliance and zero security breaches while handling sensitive data for 1M+ usersDesigned and implemented a scalable NoSQL database architecture using MongoDB and Cassandra, supporting 5TB+ of data with sub-millisecond read latencies