Sai Aditya

• Developed an AI-driven financial analytics platform using Spring Boot, integrating LLaMA-3 and Claude models for predictive risk scoring, fraud detection, and customer behavior analysis, collaborating closely with stakeholders to refine technical requirements. • Built RESTful APIs (/transaction-insights, /user-risk-profile) with Spring Boot, Hibernate, and PostgreSQL within a microservices architecture, reducing latency by 28%, enabling real-time data exchange across internal systems, partner APIs, and analytics pipelines efficiently. • Implemented RiskAssessmentService and CreditPolicyService microservices using Spring Boot, gRPC, Apache Kafka, and Redis, incorporating AI anomaly detection, predictive default analytics, and fraud prevention, improving overall system reliability and performance by 19%. • Designed dynamic dashboards and data visualization components using React, TypeScript, and Redux, connected to PostgreSQL and AWS RDS, allowing analysts to monitor real-time financial metrics, transaction patterns, and credit risk insights seamlessly. • Implemented OAuth 2.0 and JWT authentication integrated with Plaid SSO, ensuring SOC 2, PCI DSS, and FFIEC compliance, while conducting unit and integration testing with JUnit, Mockito, and Postman to enhance API security by 35%. • Managed CI/CD pipelines with GitHub Actions, containerized services using Docker, deployed to AWS EKS, and collaborated closely with DevOps teams monitoring production systems with Prometheus, Grafana, and CloudWatch, achieving 99.9% uptime and observability.

• Designed and deployed scalable microservices for Albertsons Inc. using Java, Spring Boot, and Kafka, improving system performance by 25% during peak loads and ensuring high availability and fault-tolerant architecture. • Developed and optimized ETL pipelines processing 2M+ customer records using Java, Spring Batch, and SQL, reducing processing time by 30% while ensuring data accuracy, quality, and consistency for Safeway’s analytics initiatives. • Built a React.js vendor portal integrating REST APIs, Redux, and Material-UI, enhancing user experience, streamlining ad operations, and increasing sponsored ad revenue by 42% through optimized workflows and interface improvements. • Managed and optimized AWS infrastructure, including EC2, S3, RDS, Lambda, and CloudWatch, reducing operational costs by 15% through resource optimization, proactive monitoring, and automation of deployment and scaling processes. • Implemented event-driven architectures using Kafka and Spring Cloud Stream, ensuring real-time data processing, seamless communication between services, and enhanced reliability of critical business workflows under high concurrency. • Collaborated with cross-functional teams using Agile/Scrum methodologies, Git, and JIRA, driving end-to-end project delivery, mentoring junior developers, and integrating CI/CD pipelines for efficient and automated software deployment.