I'm a DevOps Engineer, Software Developer, and Cybersecurity Professional with over two decades of experience across retail, finance, ad-tech, and AI. I've led cloud migrations, designed CI/CD pipelines, and architected infrastructure-as-code for enterprise environments.
Right now I'm focused on applying AI and machine learning to real problems — not demos, but tools that reach users and hold up in production.
Full background →A mix of shipped tools, work-in-progress experiments, and technical systems.
Machine learning platform that helps students and early-career professionals make informed decisions based on their education, interests, and aptitude.
View project →Privacy-first CV distribution system. Requesters verify identity via OTP email — access is rate-limited, auditable, and requires zero third-party auth services.
View project →SaaS decision-support app that runs one hard prompt through multiple AI models, critiques the answers, and returns a structured verdict.
View project →Technical writing on DevOps, AI, cybersecurity, and building software that matters.
A practical walkthrough of how I cleaned up Google Search Console indexing issues on a Hugo site hosted on Netlify, using source audits, direct 301 redirects, sitemap validation, and URL Inspection.
A practical workflow for using Claude Code with planning, small implementation steps, Git checkpoints, security review, and AI-readable project context.
Model Council AI is a decision-support tool that compares multiple AI model perspectives, critiques, disagreement, and final verdicts.
Building production AI tools and writing about the process.
Last updated: April 2026
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