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Samara Simha
Full Stack Developer @Citi Bank
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WORK HISTORY
Full Stack Developer @Citi Bank
US
Developed a loan application platform using React.js, TypeScript, Spring Boot, and PostgreSQL, enabling end-to-end workflows including authentication, eligibility checks, and document management.• Built scalable frontend components with Redux and React Query, improving user engagement by 25% through optimized state management and A/B testing.• Designed and implemented RESTful and GraphQL APIs, incorporating JWT authentication, Redis caching, and Spring Security, improving API response time by 40%.• Developed a real-time fraud detection pipeline using Apache Kafka and XGBoost, increasing suspicious activity detection accuracy by 35%.• Optimized database performance through indexing, query tuning, and schema design, achieving 99.9% uptime using AWS RDS.• Implemented RBAC and OAuth2.0 security mechanisms, ensuring compliance with OWASP and PCI-DSS standards.• Enabled observability using Prometheus, Grafana, and Spring Actuator, reducing incident response time by 30%.• Wrote unit and integration tests using JUnit and Mockito, achieving 90% code coverage.• Deployed containerized applications using Docker on AWS EC2 with auto-scaling and load balancing.
EDUCATION
Swami Vivekananda Institute of Technology
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
Auburn University at Montgomery
Master of Science - MS, Computer Science
ABOUT SAMARA SIMHA
Full Stack Developer with 3+ years of experience designing and developing scalable, secure, and high-performance web applications in banking and fintech domains. Expertise in React.js, TypeScript, and Angular for frontend development, and Java Spring Boot microservices for backend systems. Strong experience in RESTful and GraphQL API design, cloud-native deployments on AWS and Azure, and CI/CD automation. Proven ability to build event-driven systems using Apache Kafka, implement secure authentication (OAuth2.0, JWT), and optimize application performance. Familiar with AI/ML integration and real-time fraud detection systems.
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