Platform Primitives for Engineering Organizations
I build platform primitives at Amazon within an organization whose mandate is to be a force multiplier for service teams. I own the monitoring platform that standardizes infrastructure monitoring across the Amazon fleet, and built a workflow orchestration control plane now supporting millions of executions across development teams in Dublin, Seattle, San Jose, and New York. That platform is on a path to General Availability for all of Amazon, enabling engineers to build safety-adherent workflows that meet reliability requirements.
Platform-enforced safety for automated infrastructure operations. Teams build workflows; the platform ensures they meet reliability standards before anything executes.
Infrastructure observability standardized at enterprise scale — 400,000+ monitors at Prudential, and monitoring standards adopted across thousands of services at Amazon.
A spec architecture where AI agents inherit curated context rather than full codebases — the methodology behind caskeycoding.com, applied to production platform infrastructure.
Portfolio Research · Stock Grading
A structured investment committee framework for evaluating equities. Score any stock across five weighted dimensions — growth, valuation, financial health, competitive moat, and analyst consensus — and receive a letter grade with a written committee summary.
Open Tool →Garmin Integration · AI Coaching
Connect your Garmin account to visualize training load, weekly mileage, heart rate zone distribution, and long run history. Chat with an AI coach powered by AWS Bedrock — contextualized to your actual training data.
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One week of SDD in production: the numbers The previous two posts made claims. This one is the data trail, pulled from the GitHub API across five repositories for the week of April 14–21, 2026. Same workflow in every…