Shiva R K

About Shiva R K

I build backend systems that don\'t break when things get hard - and I\'ve spent enough time on the frontend to know what engineers on the other side actually need.Over the past few years, I\'ve worked on distributed infrastructure handling millions of financial transactions at US Bank, real-time data pipelines processing 500GB+ of data daily at Accenture, and full-stack applications where backend performance directly shaped what users experienced on-screen. The common thread? Systems where failure isn\'t an option.My core is Java and Python on the backend - but what I actually do is figure out why things are slow, fragile, or hard to scale, and then fix them. That might mean redesigning a Kafka streaming pipeline to cut latency by 35%, building CI/CD workflows that hold 99.9% uptime, or wrapping APIs in an Interceptor pattern so integrations stop breaking every other sprint. On the frontend, I\'ve built React components that improved user engagement by 12% and cleanly integrated UI layers with the APIs powering them.I work across the full stack - Spring Boot, REST and GraphQL APIs, Kafka, React, Node.js, AWS, Azure, Kubernetes - and I\'ve gotten good at Agile teams where requirements change faster than the sprint ends. I also use AI tools like GitHub Copilot not as a shortcut, but to ship cleaner code faster and spend more time on problems that actually matter.What I\'m looking for next is a Software Engineer role - full stack or backend-heavy - on a team where the technical bar is high, and there\'s real complexity worth solving.If my background looks like a fit, reach out at t••••••••@gmail.com or connect with me here on LinkedIn. I respond quickly.

Experience

1. Software Engineer

   U.S. Bank

   Feb 2025 — Present

   Built high-performance microservices using Spring Boot with virtual threads, cutting API latency by 30% across financial transaction pipelines serving millions of customers.• Redesigned Kafka Streams workflows with custom producers and listeners, reducing message latency by 35% and eliminating bottlenecks in real-time event processing.• Engineered CI/CD pipelines using GitHub Actions, Docker, and AKS, automating deployments and reducing manual release effort by 50% while sustaining 99.9% uptime.• Designed REST and GraphQL APIs using the Interceptor Pattern, reducing cross-team integration issues by 25% and standardizing pipeline communication.• Integrated LaunchDarkly feature flags across environments, enabling controlled rollouts that cut production incidents by 30%.• Built BDD test frameworks using JUnit and Cucumber, increasing code coverage by 25% and preventing regressions across automated deployment cycles.• Leveraged GitHub Copilot for AI-assisted development, accelerating feature delivery and reducing code review cycles by 35%.

Education

• CMR Technical Campus (Autonomous Engineering College)

  Bachelor of Technology - BTech, Computer Science

• Florida Atlantic University

  Master's degree, Computer Science