I'm a Senior Software Engineer at Amazon, where I own the architecture of a multi-service workflow orchestration platform serving development teams across multiple global regions, and the monitoring platform that standardizes infrastructure observability across thousands of services. The work is platform safety with pre-execution guardrails, composite monitoring, automated rollback, and non-opt-outable isolation controls that make automated infrastructure operations reliable at scale.
Before Amazon, I spent ten years at Prudential Financial defining the enterprise monitoring standard across 400,000+ monitors, building the QR-based MFA enrollment platform used by the entire workforce (300,000+ activations across eight years), and serving as sole technical owner of all business critical reporting delivery through COVID-19 sending 12,250 datasets, zero outages. The case studies on my site unpack the decisions behind each.
A through-line in my practice: context architecture beats documentation dumps, and deterministic engines beat narrative ones. I built a specification-as-code system that routes curated context slices to specialist AI coding agents scoped by architecture layer, and I'm equally deliberate about where I don't use AI (first-pass architecture, estimates, incident response). Two personal projects hold both sides together: a factor-first investment analysis tool where the LLM narrates scores it never derives, and an AI marathon coach grounded in 90 days of real Garmin data with hard safety guardrails the model cannot override.
Open to staff and principal engineering roles in platform safety, distributed systems, and workflow orchestration. Selectively available for technical advisory on platform safety architecture and AI context architecture, not general consulting.
Location
United States