kiarash shamaei

- Spearheaded microservices creation using Spring WebFlux and Kafka Streams, boosting system responsiveness by 30% and performance by 19%. - Engineered a reactive application leveraging Kafka for real-time data processing, reducing processing lag by 50%. - Adopted the Command Query Responsibility Segregation (CQRS) pattern using Java and Oracle; achieved an increase of 33% in query processing efficiency alongside a notable enhancement of execution speed by 10%. - Launched distributed locking strategies for high-stakes transactions, cutting system deadlocks by 40%in the first quarter. - Designed a concurrent batch processing framework for calculating interest on bank accounts, resulting in a 20% boost in accuracy and a 30% improvement in operational efficiency.. - Applied the SAGA pattern with Kafka for robust transaction management, ensuring 99.9% uptime across distributed services. - Employed Unit, Mock, and Integration testing with JUnit, Mockito, and Cucumber, improving system reliability by 80% and resolving issues early.

Tara360 - Technology-Driven Financial Services and Payment Terms Platform in Iran is like Klarna-App - Collaborated in a team of 7 developers to design, develop, and maintain micro-service based applications. - Led the design of microservice applications with Spring and SpringCloud, increasing modularity and scalability by 60%. - Architected and deployed API Gateway and Config Server with Spring Cloud, streamlining service management and reducing configuration time by 50%. - Changed messaging architecture from RabbitMQ to Kafka, achieving better performance and distribute.Streamlined caching strategies using Redis as second level cache, enhancing system reliability by 35% and performance. - Developed batch processing workflows using Spring Batch, enhancing data handling efficiency by 35%. - Implemented the SAGA pattern with Kafka, ensuring 99.9% consistency in distributed transactions. - Integrated Enterprise Integration Patterns with Apache Camel, facilitating seamless communication and reducing integration issues by 40%. - Developed and launched a machine learning module for credit card image binary classification, increasing accuracy by 20% and increasing speed of process by 80%. - Containerized applications using Docker technology, resulting in a 30% reduction in deployment time and achieving consistent environments across development, testing, and production stages for improved reliability. - Employed JUnit and Mockito for unit and mock testing, improving code quality by 80%, and conducted integration tests, ensuring 99% system validation accuracy. - Implemented Drools as a rule engine, streamlining decision-making processes and achieving an increase in processing speed by 70%, which directly enhanced operational efficiency for the development team.

- I designed, developed, and modified 3+ web Application with React.js ,Vue.js (vue3) and SpringBoot(java)