Cloud, AI & data platform architecture

Sankeerth Boddu

Cloud, AI & Data Platform Architect | Principal Engineer

I turn platform strategy into production systems—connecting architecture, delivery, security, reliability, and the operational details that make the design hold up.

Portrait of Sankeerth Boddu
20+ years Architecture, cloud, data, and platform delivery
7 certifications Azure, AWS, GCP, Kubernetes, Terraform, security
Applied AI systems RAG, agents, Azure AI Foundry, Gemini, local LLMs
Hands-on builder RAGAssure, ApplyBench, MayaGuru, open-source labs

Professional focus

Architecture and engineering across cloud, AI, and data.

I design and deliver cloud, AI, and data platforms that need to be secure, observable, reliable, and maintainable. My work spans architecture and hands-on engineering across Azure, AWS, and GCP.

Professionally, I work across cloud infrastructure, AI-enabled automation, secure delivery pipelines, ETL and streaming systems, warehouse analytics, identity, observability, and production governance. Terraform, Kubernetes, CI/CD, security controls, and operational readiness are recurring parts of that work.

Outside work, I build RAGAssure, the Secure Enterprise AI Assistant, ApplyBench.com, MayaGuru.com, Home Assistant Apps, and other labs as hands-on proof-of-work around complete systems rather than startup-traction claims.

M.S. Computer Science 7 cloud and platform certifications across Azure, AWS, GCP, Kubernetes, Terraform, and cloud security.

Where I deliver the most value

Architecture capabilities backed by hands-on delivery.

Cloud & Platform Architecture

Azure, AWS, and GCP architecture with Terraform, Kubernetes, networking, identity, and platform operating patterns.

AI Platforms & Enterprise AI

RAG, agent workflows, AI-assisted systems, evaluation, identity-aware controls, and production governance.

Data Architecture & Platforms

Streaming, ETL, warehouse platforms, analytics, reporting, and governance for large-scale data systems.

DevSecOps, Reliability & Observability

CI/CD, security gates, SBOMs, OpenTelemetry, SRE practices, policy controls, and production operations.

Latest blog posts

Insights and updates from my professional journey

  • How Do You Know the AI Still Works?

    A demo can look good and still regress later. Evals turn 'looks good' into something you can repeat, measure, and use as a release decision.

  • Getting AI Into Production

    The model is only one part of production. Identity, networking, cost, observability, rollback, security, and ownership decide whether the system ac...

  • Same AI, Different Constraints

    An HR assistant, a fraud system, and a factory-floor model can all be called enterprise AI. The architecture changes because the constraints change.