Sai Kiran Prudhivi
Software Engineer @CGI
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WORK HISTORY
Software Engineer @CGI
NY, US
Architected high-volume policy management microservices using Python and Django, increasing transaction processing speed by 25% across internal insurance platforms. Engineered scalable REST and GraphQL APIs using FastAPI and Node.js, reducing integration latency by 40% for partner application ecosystems. Migrated legacy monolithic architectures to Dockerized microservices on AWS EKS, improving deployment frequency by 60% and ensuring 99.9% system uptime. Streamlined event-driven data pipelines using Kafka and Python, achieving real-time synchronization for 1M+ daily financial notifications. Optimized complex PostgreSQL and MongoDB queries, resulting in a 35% improvement in data retrieval speeds for executive reporting dashboards. Automated end-to-end CI/CD pipelines using GitHub Actions and Terraform, cutting manual release intervention by 50% and enhancing production visibility. Spearheaded the development of high-performance Python-based microservices for claims processing, reducing backend response times by 20% across distributed insurance platforms.
EDUCATION
Northern Arizona University
Master's degree, Computer Science
University College of Engineering Narasaraopet - JNTUK
Bachelor of Technology - BTech, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES
Narayana Institute
10th, Ssc
ABOUT SAI KIRAN PRUDHIVI
Results-driven Software Engineer with 3+ years of experience designing and delivering scalable, high-performance applications across financial and enterprise domains. Proven expertise in building microservices using Python, Spring Boot, and Spring Cloud, along with developing responsive front-end solutions using React, TypeScript, and modern UI frameworks. Strong background in developing secure RESTful and GraphQL APIs,implementing cloud-native solutions on AWS and Kubernetes, and optimizing database performance across SQL and NoSQL systems. Experienced in CI/CD automation, real-time data processing with Kafka, and implementing observability using Prometheus and Grafana. Adept at Agile development, test-driven practices, and delivering reliable, production-ready software with measurable impact on performance, scalability, and user experience.
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