{ "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json", "basics": { "name": "Anthony A. Robinson", "label": "Senior DevOps & AI Systems Engineer", "email": "anthonyr@anthonyr.com", "phone": "+1-206-979-9942", "url": "https://anthonyr.com/", "summary": "Senior DevOps with 20 years of Microsoft-scale build/release rigor, now running production AI pipelines where LLMs do what humans used to. Model-agnostic across Claude, the Anthropic API, ChatGPT/OpenAI API, and GitHub Copilot. AI Systems Architect with proven expertise across all seven core AI systems competencies: specification precision, evaluation design, multi-agent orchestration, failure pattern recognition, trust/security architecture, context engineering, and token economics.", "location": { "city": "Redmond", "region": "WA", "countryCode": "US" }, "profiles": [ { "network": "Email", "username": "anthonyr", "url": "mailto:anthonyr@anthonyr.com" } ] }, "work": [ { "name": "SanMar", "location": "Issaquah, WA", "position": "Senior DevOps & AI Systems Engineer", "startDate": "2019-09", "summary": "Architect and operate AI-augmented DevOps systems at enterprise scale, integrating LLM pipelines into daily operations while leading comprehensive CI/CD and infrastructure automation.", "highlights": [ "Designed and built an end-to-end meeting intelligence pipeline: GPU-accelerated Whisper transcription -> Claude API classification (13 categories) -> structured summarization -> automated action item extraction with Azure DevOps work item reconciliation.", "Developed AI-powered weekly activity reporting that scans ADO repositories for commits/PRs and generates executive narrative summaries via Claude API, replacing hours of manual status reporting.", "Authored 5 production mega-prompts (230+ lines each) with specification precision techniques: anti-drift safeguards, context-aware formatting rules, name/project correction mappings, and meeting-type-adaptive output structures.", "Built and maintain a 233-function PowerShell module library serving as composable context for AI-assisted development across 22 Claude Code projects with per-project memory tracking.", "Created 3 custom Claude Code skills for production use: ADO API resilience (retry/backoff/cascade prevention), PowerShell security auditing (6-category risk analysis), and Excalidraw diagram generation (27-point quality checklist).", "Developed custom DevOps tooling using OpenAI and Anthropic APIs for automated code analysis, documentation generation, and pipeline optimization.", "Led development of the \"What's Deployed Where\" system providing real-time deployment visibility across all environments, with automated notification systems and CAB weekly emails supporting nested ADO Work Item queries.", "Reverse-engineered Azure deployments to create custom IaC toolset (PowerShell/Azure CLI) for desktop and pipeline deployments; extended to PowerShell 7 and Linux for cross-platform flexibility.", "Redesigned serial deployment pipelines to parallel execution, achieving 48% deployment time savings; redesigned Azure deployments achieving 97% deployment time savings.", "Designed enterprise-wide Jira-to-Azure DevOps migration tooling around jira-azuredevops-migrator with automated notifications, parallelized Linux repository updates, orphaned branch cleanup, and environment tracking dashboards." ] }, { "name": "Microsoft", "location": "Redmond, WA", "position": "DevOps Engineer", "startDate": "2018-04", "endDate": "2019-08", "highlights": [ "Designed CI/CD pipelines for Windows Photos App; analyzed workflows and implemented performance improvements.", "Designed automated test-failed-retry pipeline to isolate flaky infrastructure from genuine test failures - an early failure pattern recognition system.", "Implemented Docker-based ELK stack for build/release/test metrics collection and analysis.", "Built ADO activity dashboards and reporting using PowerShell and ADO REST API." ] }, { "name": "Garden City Group", "location": "Seattle, WA", "position": "DevOps Lead", "startDate": "2017-01", "endDate": "2017-12", "highlights": [ "Led adoption of Git-based workflows and DevOps tooling for a new Azure-hosted product; trained teams on ADO, Git, GitFlow, and NuGet.", "Implemented CI/CD processes with dotCover, Karma/Istanbul coverage, and Elasticsearch/Kibana dashboards.", "Managed Agile workflow using Epics, Stories, and Work Items in ADO." ] }, { "name": "Intentional Software", "location": "Bellevue, WA", "position": "Senior Build Engineer", "startDate": "2016-10", "endDate": "2016-12", "highlights": [ "Created auto-deployment scripts connecting OpenStack/BlueBox cloud VMs to Jenkins in a Jenkins 1.6/2.0, SVN/Git, TFS environment." ] }, { "name": "FTI Consulting", "location": "Seattle, WA", "position": "Senior Build Engineer", "startDate": "2015-03", "endDate": "2016-09", "highlights": [ "Administered Visual Studio TFS 2015; created automated code coverage metrics using dotCover and SQLCC.", "Co-designed division-wide dashboard reporting build status and coverage metrics via Elasticsearch and Kibana.", "Automated build monitoring, queuing, and team alerting using PowerShell, MSBuild, and TFS API." ] }, { "name": "Microsoft", "location": "Redmond, WA", "position": "Build Lead / Build Manager", "startDate": "2005-01", "endDate": "2015-02", "summary": "10 years supporting enterprise-scale build/release infrastructure across Windows Media, Windows Mobile (100+ builds), Windows Live, Developer Division (Visual Studio), and console/services.", "highlights": [ "Hired and managed a team of 5 build engineers providing 24/7 build and source management support.", "Designed multi-language Service Pack creation process, scaling from 4 to 26 languages.", "Built isolated build networks reducing build times and corporate network traffic.", "Created automated VM provisioning on Hyper-V, NuGet Gallery, and web-based build status dashboards.", "Implemented the Compatibility Labs program (\"Windows Certified\") for OEM hardware testing." ] } ], "education": [ { "institution": "Texas A&M University", "location": "College Station, TX", "area": "Management (Computer Science Minor)", "studyType": "BBA" } ], "skills": [ { "name": "LLM APIs & Platforms", "keywords": [ "Anthropic Claude API", "Claude Haiku", "Claude Sonnet", "Claude Opus", "OpenAI API", "Claude Code", "GitHub Copilot", "Cody", "Cline" ] }, { "name": "AI Engineering", "keywords": [ "Prompt engineering", "Mega-prompts", "Specification precision", "Anti-drift", "Multi-agent orchestration", "Evaluation harnesses", "Token economics" ] }, { "name": "ML & Audio", "keywords": [ "Whisper", "faster-whisper", "GPU-accelerated transcription", "CUDA", "Batch processing" ] }, { "name": "Automation & Orchestration", "keywords": [ "n8n", "FastAPI", "PowerShell module composition", "233-module library" ] }, { "name": "Infrastructure", "keywords": [ "Docker", "Kubernetes", "Flux GitOps", "Terraform", "OpenTofu", "Proxmox", "Talos Linux", "Ansible" ] }, { "name": "Cloud & DevOps", "keywords": [ "Azure DevOps", "Azure CLI", "Azure Key Vault", "CI/CD pipelines", "Infrastructure as Code" ] }, { "name": "Observability", "keywords": [ "Loki", "Grafana", "Prometheus", "Elasticsearch", "Kibana", "ELK Stack" ] } ], "projects": [ { "name": "TLDW (Too Long; Didn't Watch)", "description": "AI content intelligence system tracking 51 YouTube channels, 783+ videos with automated transcript processing, summarization, and detailed analysis. Active daily pipeline.", "url": "https://anthonyr.com/proof/tldw.html", "highlights": [ "Automated YouTube channel monitoring at scale (51 channels, 783+ videos)", "Multi-stage Claude pipeline: transcript -> summary -> detailed analysis", "Daily-driven, production-grade" ], "keywords": ["Claude API", "Whisper", "YouTube", "AI pipeline", "Automation"] }, { "name": "Transcripts Pipeline", "description": "Production Claude API pipeline: audio -> Whisper transcription -> Haiku classification -> Sonnet summarization -> action item extraction -> ADO work item matching. Dual-model architecture with retry/backoff and state persistence.", "url": "https://anthonyr.com/proof/transcripts-pipeline.html", "keywords": ["Claude Haiku", "Claude Sonnet", "Whisper", "Azure DevOps", "Multi-agent"] }, { "name": "Self-Hosted Infrastructure", "description": "30+ Docker Compose services including AnythingLLM (document Q&A), n8n (workflow automation with scheduled AI integrations), Prometheus/Grafana monitoring, and media management. Complete infrastructure-as-code.", "url": "https://anthonyr.com/proof/homelab.html", "keywords": ["Docker", "n8n", "AnythingLLM", "Prometheus", "Grafana", "IaC"] }, { "name": "Kubernetes GitOps Cluster", "description": "Data-driven K8s infrastructure on Proxmox/Talos Linux with two-loop reconciliation: OpenTofu for infrastructure provisioning + Flux CD for application GitOps. MetalLB, Traefik, NFS storage, SOPS encryption.", "keywords": ["Kubernetes", "Proxmox", "Talos Linux", "OpenTofu", "Flux CD", "MetalLB", "Traefik", "SOPS"] }, { "name": "Ansible Automation", "description": "Playbooks for system patching, reboot management, hardware inventory, and historical data collection across homelab fleet.", "keywords": ["Ansible", "Patch management", "Inventory"] } ], "meta": { "canonical": "https://anthonyr.com/resume.json", "version": "1.0.0", "lastModified": "2026-05-19" } }