Ravindra Yadav

About Ravindra Yadav

Cloud Architect with 12+ years of experience designing and modernizing enterprise-scale platforms in banking and regulated environments.Specialize in AWS cloud-native architecture, Kubernetes (EKS), distributed systems, and DevOps enablement. Led large-scale transformations from legacy systems to scalable, containerized platforms, improving reliability, performance, and cost efficiency.Currently focused on building Agentic AI platforms, designing event-driven architectures and LLM-powered workflows using LangGraph and Strands Agent SDK.Python SME and Technical Lead with a strong focus on clean architecture, scalable design patterns, and mentoring engineering teams.Key impact:• Built enterprise Agentic AI platforms on AWS• Reduced manual effort by up to 70% through automation• Improved deployment reliability by 40% with CI/CD & GitOps• Optimized infrastructure costs by 30–40%Passionate about solving complex problems at scale and building future-ready platforms.

Experience

1. Cloud Architect

   IBM

   Jul 2025 — Present

   Co-architected and delivered the foundational architecture for an enterprise-scale Agentic AI platform on AWS, leveraging Lambda, SQS, DynamoDB, ECS, and Aurora; designed scalable, event-driven systems to support LLM-powered agent workflows. Enabled advanced reasoning orchestration using LangGraph, integrating AI decisioning with backend services to drive extensible and production-grade agent execution patterns.2. Defined and standardized DevOps architecture for the Risk Agentic AI platform, including repository archetypes, branching strategies, CI/CD pipelines, and secure container build practices using GitHub Actions, SonarQube, and Snyk; improved developer productivity and reduced deployment risks across teams.3. Acted as a Python SME and Technical Lead, establishing best practices for clean code, SOLID principles, and scalable system design; drove adoption of maintainable architecture patterns, improving code quality and long-term platform sustainability.4. Led enablement of agentic architectures, mentoring engineering teams on building autonomous AI agents using Strands Agent SDK and LangGraph; introduced advanced prompt engineering and orchestration patterns, accelerating development of complex, reasoning-driven workflows.5. Architected and implemented database automation frameworks using Liquibase on Amazon Aurora, integrating with CI/CD pipelines to enforce schema governance, improve release reliability, and ensure compliance with enterprise operational standards.

Education

• University of Mumbai

  Master of Computer Applications - MCA, Computer Software Engineering

  2010 — 2013