Helping teams ship faster, scale smarter, and build resilient infrastructure through DevOps culture, cloud automation, and cybersecurity.
Hands-on experience across the modern DevOps and cloud stack.
Designing and managing scalable, secure cloud environments with infrastructure as code.
Automating build, test, and deploy workflows for faster and reliable software delivery.
Building containerized applications and managing them at scale with Kubernetes.
Implementing DevSecOps practices, vulnerability management, and security automation.
Setting up monitoring, logging, and alerting to ensure system reliability and performance.
Leveraging AI tools to supercharge DevOps workflows and reduce toil across teams.
Insights on DevOps, cloud, and building better engineering teams.
When AI writes the code and automates the pipeline, what makes a DevOps engineer irreplaceable? Spoiler: it's never been the terminal commands.
Written before the AI explosion, this piece predicted platform engineering and GitOps trends that are now table stakes. What it didn't see coming: LLM-powered pipelines.
Before "Platform Engineering" was a job title, DevOps teams were already building the self-service infrastructure that now powers AI-assisted developer workflows.
Senior Director of IT & Information Security at Parachute Health, with 15+ years of experience building secure, scalable cloud infrastructure across healthcare, travel, and fashion industries.
I'm an active researcher with 700+ citations, 21+ published papers in AI, ML, and cybersecurity, and a reviewer for 11+ IEEE conferences. A judge for the Globee Cybersecurity Awards, Stevie Awards, and DevOps Excellence Awards — I write here about what actually works in the real world.
Practical guides on using Claude effectively — from structuring projects to building AI-powered apps.
Learn how to write effective CLAUDE.md files that give Claude the right context, conventions, and guardrails for your codebase.
Practical techniques to reduce token usage — prompt compression, caching strategies, context pruning, and when to use sub-agents.
What Model Context Protocol servers are, how to set them up, and the best ones for DevOps — GitHub, Slack, Notion, databases and more.
How to go from idea to deployed app using Claude Code. Real workflows, folder structures, deploy scripts, and lessons learned.
Orchestrating Claude agents to handle complex workflows — how to delegate tasks, share context, and avoid common pitfalls.
Extended thinking, Claude 4, prompt caching, the Projects feature, computer use — a roundup of the latest Claude capabilities worth knowing.
Essential reading for anyone serious about DevOps.
Whether it's a speaking opportunity, a collaboration, or just a conversation about DevOps and AI — find me on LinkedIn, GitHub, or explore my research on Google Scholar and ResearchGate.