Twenty-five years architecting and scaling mission-critical infrastructure for the highest-stakes environments — from scaling identity platforms to 4 billion+ transactions a day to building production systems for Twitter, PayPal, Ticketmaster, and Pearson. Now applying that depth hands-on: solo-architecting and shipping production serverless AI systems on AWS.
Twenty-five years deep in the systems themselves: scaling, hardening, automating, and reverse-engineering complex production infrastructure. I'm an individual contributor by choice — I do the work, not just direct it. Recently I've been using AI-assisted workflows to reverse-engineer legacy systems, find optimization opportunities, and ship full production systems solo. The builds below are proof: real serverless AWS architectures (Bedrock, Lambda, Cognito, DynamoDB, CDK) designed, deployed, and hardened end-to-end by one person.
Open to fully-remote senior / principal / staff AWS infrastructure & platform engineering roles, and AI-infrastructure work. AWS-native focus.
I'm also open to collaboration and contract work as time permits. I genuinely love building, architecting, and securing optimal solutions — that's the part I'd do for fun. I'm not a business-acumen guy and I don't pretend to be. So bring me your concept and your idea, and let me help you achieve it — securely, soundly, and profitably.
Selected roles. Full history available on request / LinkedIn.
Not slideware — real, deployed systems. Each was architected, built, and hardened end-to-end by one person using AWS-native services and AI-assisted workflows. Two flagships, then the breadth.
A web app for California's SB-68 allergen-disclosure law: upload a menu (PDF / photo / URL), AI extracts every item and suggests likely allergens, a human verifies each one, and it generates an SB-68-format digital menu, QR code, and printable chart with an audit trail. Strict integrity model — AI suggests, a human verifies, the restaurant owns accuracy. Built around real production constraints: client-side PDF extraction to cut cost ~100×, decoupled parallel AI calls under the API-gateway 30s ceiling, per-account/IP rate limits, a daily Bedrock spend cap, full access logging, and Playwright end-to-end verification on the live site.
A production Model Context Protocol server for Drift Protocol perpetual-futures trading on Solana — multi-wallet support, balance management, documented test harness — letting AI agents trade on-chain. Ran in production until Drift Protocol itself was frozen following the April 2026 $285M North-Korean (DPRK) exploit, the largest DeFi hack of 2026. The platform was destroyed; the tooling worked.
AWS — EC2, Lambda, EKS, VPC, Route53, S3, IAM, CloudFormation, CloudTrail, ELB, QuickSight, Compute Optimizer, Bedrock. Apache CloudStack, VMware/vSphere.
Terraform, Ansible, Chef, Puppet, CloudFormation, AWS CDK, GitLab CI/CD, Jenkins, Rundeck.
ForgeRock (OpenAM, OpenDJ, OpenIDM), RadiantLogic, SAML, OAuth, Cognito.
Python, Ruby, Bash/Shell, TypeScript, Perl, PHP, C, C++. Low-level kernel/system debugging (e.g. SoftICE). These days I'm 100% AI-first — I direct and review rather than hand-type code.
Linux (RHEL, Oracle, Ubuntu), Solaris, AIX, Hadoop.
Generative AI, AI-assisted workflows, Amazon Bedrock, serverless data pipelines, QuickSight, MLOps.
DevOps, SRE, Infrastructure as Code, SOX/PCI compliance, large-scale cost optimization.
4B+ daily IAM transactions · 20M+ daily messages · multi-region production · sub-3ms auth at scale.