Raghu — Enterprise Engineering & Architecture Leader

I build enterprise applications and the platforms that deliver and support them. My work spans cloud engineering, DevSecOps, SRE, and applied AI, with a focus on reliable operations and practical technical decisions.

Software Enterprise Software
Cloud Cloud & Platforms
Delivery DevSecOps & CI/CD
Research Evidence & Prototypes
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Core capabilities

The engineering capabilities behind the case studies.

Software Engineering & Integration

Enterprise application development, Java and Spring Boot, REST APIs, SQL, and application integration.

JavaSpring BootSQL

Lifecycle Automation & Governance

Designing delivery pipelines and release controls that encode policy, reduce drift, and keep change paths auditable across the infrastructure lifecycle.

CI platform legacy CI GitOps controllers

Secure Lifecycle Governance

Integrating security into every phase of the SDLC with automated vulnerability management, compliance reporting, and supply-chain traceability.

SAST/DAST code quality scanner cloud security platform

Cloud Infrastructure Architecture

Cloud and platform architecture, infrastructure automation, and operational recovery planning.

infrastructure as code AWS Azure

SRE & Operational Reliability

Operational support, incident follow-through, telemetry review, release checks, and developer enablement.

metrics platform Grafana ELK Stack

Applied AI & LLMOps

Python automation and browser prototypes exploring grounded troubleshooting, evidence, and human review.

RAGAdvisory workflowsEvaluation

Selected writing

Technical notes on platforms, delivery, reliability, and applied AI.

The Rise of Intelligent Delivery Platforms

Why traditional CI/CD pipelines are evolving into AI-assisted operational systems.

Read article Open diagram suite

Grounded AI Systems

Comprehensive guide to grounding knowledge in AI systems with RAG, embeddings, MCP, agents, and multi-agent architectures.

Read article Open grounded AI lab
Explore writing
Engineering leadership grounded in practical architecture.

Practical architecture, clear ownership, and reliable delivery.

Independent work includes EOCS, operational verification, and applied AI. Explore research & architecture notes →

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