Architected and deployed microservices using Java, Spring Boot, and AWS, supporting 12+ financial systems and increasing modular scalability by 35% across multi-domain data processing pipelines. Enhanced RESTful APIs and Redis caching, achieving a 30% latency reduction and 25% higher request throughput during peak trading hours. Built CI/CD pipelines using GitHub Actions, Docker, and Kubernetes, delivering 100% zero-downtime deployments. Integrated data analytics modules with AWS Lambda and S3, automating insights and improving trading pattern detection accuracy by 42%, reducing manual reporting time by 8 hours weekly. Refactored legacy backend modules into modular components, improving test coverage to 90% and reducing maintenance issues by 40% across production systems. Partnered with DevOps, QA, and risk teams to enforce compliance and security protocols, preventing 15+ potential data integrity violations in line with FINRA and SOX requirements.

Software Developer at Hexaware Technologies

January 1, 2022 - June 1, 2023

Engineered scalable backend services using Spring Boot, Hibernate, and MySQL, improving data consistency by 99.8% and boosting query response speed by 45% across enterprise financial dashboards. Developed ETL pipelines handling 1M+ daily transactions, integrating real-time analytics dashboards that accelerated financial reporting cycles by 60% and reduced anomaly detection latency. Implemented asynchronous Kafka-based messaging, enhancing event throughput by 50% and ensuring fault tolerance across distributed trading systems with zero data loss incidents. Automated infrastructure provisioning using Terraform and AWS Lambda, decreasing manual setup time by 70% and deployment errors by 80% across 5 active environments. Collaborated with clients to transform business requirements into optimized APIs, achieving 98% SLA compliance and 20% improved transaction reliability during high-traffic periods. Reviewed and validated 10K+ lines of code per sprint, elevating release stability by 35% and

Software Developer Intern at R-Financial

July 1, 2021 - December 1, 2021

Contributed to a financial analytics platform using Python, Flask, and Scikit-learn, enabling real-time trend prediction with 92% model accuracy across 5 market datasets. Designed REST APIs connecting predictive models with dashboards and databases, improving system reliability by 40% and ensuring full data validation coverage across endpoints. Optimized PostgreSQL schemas and queries, cutting data retrieval time by 28% and supporting 2x growth in transaction volume with stable latency under 150 ms. Constructed unit and integration test suites with JUnit and Mockito, achieving 95% test coverage and reducing regression incidents by 50% during QA cycles. Deployed prototype builds to AWS EC2, tuning compute allocation to reduce costs by 22% while improving system response under concurrent load tests by 37%. Documented architecture, workflows, and deployment guides for 10+ components, improving team onboarding efficiency by 45% and ensuring consistent knowledge transfer.