Indraneel Parthasarathy

About Indraneel Parthasarathy

Full-Stack Software Engineer with 3+ years building high availability Java and Spring backend services, Python based tooling, and React driven user interfaces for financial, e-commerce, and enterprise platforms, supporting 50K+ concurrent users in production.I specialize in end to end system ownership, designing secure APIs using OAuth2 and JWT, event driven microservices, and performant frontend applications, backed by CI/CD pipelines that reduced release cycles from 3 hours to under 25 minutes across AWS and azure cloud native systems.I also build pragmatic developer tools, including backend automation services that leverage LLM inference to reduce manual infrastructure and deployment effort.

Experience

1. Software Engineer

   PNC

   Sep 2024 — Present · CA, US

   Developed secure authentication microservices using Java 11, Spring Boot, and Spring Security with OAuth 2.0 and JWT implementation, supporting 50K+ concurrent user sessions across distributed banking applications.• Built responsive web applications using Angular, Redux, and TypeScript, integrated with RESTful APIs and implemented real-time features using WebSockets, achieving improved page performance and enhanced user experience.• Enhanced high-throughput transaction processing system using Java microservices, PostgreSQL with connection pooling, and Apache Kafka for event streaming, handling 25K+ daily transactions with optimized API response times.• Implemented fraud detection data pipeline using Java, Apache Kafka, and Spring Boot, integrated with existing banking services via REST APIs, reducing false positive alerts by 45% while processing real-time transaction events.• Optimized database performance through Spring Data JPA query optimization, Redis caching strategies, and database indexing, achieving significant improvement in query execution time and reduced database load during peak traffic.• Automated CI/CD pipelines using Jenkins, Docker containerization, Kubernetes orchestration, and Terraform infrastructure as code, reducing deployment time from 3 hours to 25 minutes while maintaining zero-downtime deployments

Education

• California State University - East Bay

  Master of Science - MS, Computer Science

• Rajalakshmi Engineering College

  Bachelor of Technology - BTech, Information Technology

• St.Johns Sr. Sec. School & Junior College

  High School