Krishnakanth Pedapudi

About Krishnakanth Pedapudi

I am a Lead Engineer with 12+ years of experience building and operating large-scale, high-availability backend systems in the financial services domain. My core strength lies in designing robust, scalable, and secure platforms that perform reliably under high transaction volumes and strict SLAs.In my current role at Visa, I work on mission-critical payment and financial platforms, contributing across the full engineering lifecycle — system design, backend development, API architecture, code reviews, production readiness, and operational excellence. I work closely with architects, product teams, and DevOps to ensure systems are cloud-native, resilient, observable, and future-ready.My technical expertise is centered around Java, Spring Boot, microservices, and distributed systems, with hands-on experience in event-driven architectures (Kafka), containerization (Docker, Kubernetes), CI/CD pipelines, and performance optimization. I focus heavily on building systems that are not only functional, but maintainable, extensible, and operationally sound at scale.Over the last few years, I have been actively integrating AI-assisted and agentic approaches into software engineering workflows. This includes working with Generative AI, AI Agents, Agentic AI patterns, and Retrieval-Augmented Generation (RAG) architectures to enhance developer productivity, system intelligence, and automation capabilities. I have hands-on experience applying these concepts for:AI-assisted code analysis, refactoring, and test automationBuilding AI agents that orchestrate tools, APIs, and workflowsDesigning RAG-based systems that combine LLMs with structured enterprise dataApplying agentic patterns for planning, execution, and decision automation in real-world systemsRather than treating AI as a standalone feature, I focus on embedding AI into core system design — ensuring solutions are secure, explainable, scalable, and aligned with enterprise constraints.Key strengths include:Backend & distributed system architectureJava / Spring Boot / RESTful API designCloud-native & containerized platformsEvent-driven systems and data pipelinesAgentic AI, AI Agents, Generative AI & RAG modelsAI-augmented software delivery & automationMentoring engineers and driving engineering best practicesI enjoy solving complex engineering problems, modernizing legacy systems, and building intelligent, production-grade platforms that combine strong engineering fundamentals with practical AI adoption.

Experience

1. Lead Engineer

   Visa

   Feb 2026 — Present

Education

• Lutheran High School

  SSC

  2002 — 2005

• Adithya Junior College

  Intermediate , MPC

  2005 — 2007

• Aditya Engineering College

  Bachelor of Technology (B.Tech.), Computer Science

  2007 — 2011