Ravikiran Bethala

About Ravikiran Bethala

I’m a Full Stack Java Developer with 3+ years of experience building high-performance, scalable systems in the financial and enterprise domains. My work sits at the intersection of backend engineering, cloud infrastructure, and modern frontend development—where I focus on delivering reliable, low-latency applications that handle real-world scale.Currently, I design and develop microservices that process millions of daily transactions, with a strong emphasis on performance optimization, resilience, and clean architecture. I’ve consistently driven measurable impact—reducing latency, improving system throughput, and accelerating delivery cycles through automation and thoughtful engineering practices.My core expertise lies in Java (8–17), Spring Boot, microservices architecture, and cloud platforms like AWS, complemented by frontend development in Angular. I enjoy solving complex problems across the stack—from tuning database performance on large datasets to building intuitive dashboards that enhance user experience.Beyond development, I take pride in contributing to team success—leading Agile squads, mentoring peers, and promoting best practices in CI/CD, testing, and code quality. I’m also deeply interested in leveraging AI-driven solutions, particularly in areas like fraud detection and predictive analytics, to build smarter and more adaptive systems.Email:[r••••••••@outlook.com](mailto:r••••••••@outlook.com)Contact:+17•••••••68I’m always open to connecting with professionals who are passionate about building scalable systems, cloud-native architectures, and impactful technology solutions.

Experience

1. Full Stack Java Developer

   JPMorganChase

   Oct 2025 — Present · Chantilly, VA, US

   Architected high-performance microservices processing 2.3M+ daily financial transactions, reducing request latency by 420msthrough asynchronous processing. Designed internal risk management dashboards using Angular and TypeScript, decreasing page load times by 3.6 secondsvia optimized state management. Enhanced data persistence layers using Hibernate and PostgreSQL, cutting analytics job execution time by 31 secondsthrough indexing and batch processing. Deployed containerized applications on AWS using Docker, ensuring fault-tolerant infrastructure across 4 real-time fintechsystems. Automated CI/CD pipelines with Jenkins and Maven, achieving full accuracy across 40+ production releases via integratedtesting. Led an Agile squad of 5 engineers, accelerating feature delivery by 12 engineering days per sprint through code reviews andsprint planning. Integrated AI-driven fraud detection modules, improving transaction anomaly detection accuracy via RESTful orchestration.

Education

• University of North America

  Master's degree, Computer Science