• Designed and implemented high-throughput Java microservices, improving real-time trade monitoring efficiency by 38%, reducing system latency and enhancing compliance alert accuracy across distributed pipelines.

• Developed streaming data pipelines using Kafka and Redis caching, achieving 42% faster anomaly detection, ensuring low-latency processing for millions of events with fault-tolerant microservices.

• Optimized complex data processing workflows and rule engines, increasing compliance detection coverage by 35%, while maintaining full regulatory audit trail and reporting consistency.

• Leveraged Java, Spring Boot, and reactive programming to build scalable event-driven systems, collaborating cross functionally to deliver high-quality enterprise solutions on time.

• Implemented advanced multithreading and concurrency solutions, applying domain-driven design principles to improve system performance while mentoring junior engineers and fostering collaborative team culture.

• Developed RESTful and GraphQL APIs with secure authentication, emphasizing performance optimization, code maintainability, and adherence to clean architecture and software engineering best practices.

• Applied modern observability tools including Prometheus and Grafana to monitor distributed microservices, troubleshoot issues, and ensure resilience across high-availability enterprise systems.

• Built efficient data pipelines integrating Kafka, Spark, and PostgreSQL, performing real-time analytics while communicating technical insights effectively to stakeholders and cross-functional teams.

• Deployed containerized microservices on AWS cloud infrastructure, using Kubernetes and Docker for orchestration, enhancing scalability, resilience, and automated deployment efficiency.

• Architected cloud-native applications with AWS services including Lambda, S3, and RDS, implementing CI/CD pipelines, improving deployment speed and ensuring secure, cost-efficient operations.

• Assisted in implementing Java microservices for trade event processing, contributing to a 38% improvement in real time data handling reliability across distributed pipelines.

• Supported development of anomaly detection logic using Java and Kafka streams, helping enhance compliance monitoring efficiency by 42% while minimizing false-positive alerts.

• Participated in creating automated reporting pipelines with PostgreSQL and Redis caching, improving data retrieval performance by 35% for investigative dashboards.

• Collaborated with senior engineers to build REST APIs and integrate GraphQL endpoints, applying object-oriented programming and learning domain-driven design principles effectively.

• Contributed to agile team activities including sprint planning, daily stand-ups, and code reviews, demonstrating teamwork, communication, and problem-solving skills in fast-paced environments.

• Assisted in implementing event-driven architecture using Kafka streaming, learning low-latency message processing, and supporting system resilience and reliability across distributed services.

• Applied Java concurrency, multithreading, and memory optimization techniques under guidance to improve microservice performance and maintain efficient high-throughput processing pipelines.

• Wrote unit and integration tests using JUnit and Mockito, supporting test-driven development (TDD) practices to ensure code quality, maintainability, and stable releases.

• Participated in deploying and monitoring microservices on AWS cloud using EC2, S3, Lambda, and CloudWatch, gaining hands-on experience with scalable, highly available systems.

• Assisted in configuring CI/CD pipelines on GitLab and Kubernetes clusters, contributing to automated builds, deployments, and system monitoring using AWS Cloud services and Prometheus.