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For 20 years, I've been at the bleeding edge not following trends, but building infrastructure that becomes industry standard 2-5 years later. MongoDB at production scale before it was mainstream (Cisco acquired the company). Platform engineering before it had a name. Golden paths before Spotify popularized the term. I don't just implement I create categories.

Most recently at large cloud provider, I led the largest HCLS cloud platform engagement in history. The infrastructure we built enabled their generative AI strategy their CIO keynoted about it at a major cloud conference. The engagement became the reference architecture for the entire vertical and generated $20M+ in downstream pipeline.

Now I'm pioneering OutcomeOps: the next evolution beyond DevOps. DevOps gave us speed and stability, but it measures activity (deployments, MTTR) not outcomes (business value delivered). OutcomeOps ties engineering directly to business results. Context Engineering is how you implement it in the AI era—grounding AI code generation in organizational knowledge so engineers focus on outcomes while AI handles syntax.