Résumé

Luke
MacNeil

AI Engineer at Sandia National Laboratories — infrastructure, full-stack and AI systems

CKA Certified · Alpine, Texas · Remote · U.S. Citizen

Infrastructure and DevOps leader with 20 years building and operating production systems at enterprise scale. Certified Kubernetes Administrator. Puppet configuration management across 10,000+ FedRAMP servers at Salesforce. Nationwide migration of 7,500 retail systems at CVS Health under PCI-DSS. Now shipping production agentic AI applications on self-managed Kubernetes with SLO-driven reliability, 1,600+ automated tests, and GitHub Actions CI/CD. USPTO patent holder in machine learning.

Core competencies

Infrastructure & IaC
Kubernetes (CKA), AWS (EC2, S3, IAM, SES, Route53), GCP, Docker, Terraform, Packer, Ansible, Puppet (10k+ nodes), platform engineering
AI & LLM integration
Multi-model orchestration (Claude, OpenAI, Gemini, Ollama), RAG pipelines (ChromaDB, LlamaIndex), agentic pipelines, function calling, prompt engineering, TTS/STT, embeddings
CI/CD & GitOps
GitHub Actions (parallel matrices, multi-platform builds, automated releases), git worktrees, Jenkins, Spinnaker, Artifactory
SRE & observability
SLOs/SLIs, error budgets, incident management, on-call, runbooks, toil reduction, capacity planning, Prometheus, Grafana, Zabbix (50k+ items), Splunk
Full-stack
Python (Django, FastAPI, Celery, async/await), TypeScript, React, Electron, Node.js, SQL, HTMX
Testing & quality
Pytest, Vitest, Playwright (E2E), 1,600+ automated tests across projects, test-driven development
Security & compliance
FedRAMP, PCI-DSS, HIPAA, prompt injection prevention, path traversal guards, secrets management
Platforms
RHEL, CentOS, Ubuntu, SuSE, Debian — 20 years production Linux operations

Certifications

Experience

AI Engineer Sandia National Laboratories

2026 — Present

Artificial intelligence systems

  • Work at Sandia is not publicly describable. Details on request where clearance and classification allow.

Head of Engineering / Lead Developer JET Hospitality

2023 — Present

Cloud infrastructure & AI systems · 10 properties · Remote

  • Architected and operate all production AWS infrastructure (EC2, Lightsail, SES) supporting 10 properties. Defined SLOs with error budgets for booking platform availability — 99.99% measured uptime — plus synthetic monitoring, runbooks, and incident response procedures.
  • Saved $50K+/year by designing and shipping a custom multi-department CRM (Django, Celery, PostgreSQL, Redis) replacing paid SaaS: sales pipeline with Kanban boards, investor relations, multi-queue ticketing, hiring pipeline, and AI content publishing.
  • Engineered dual-database architecture bridging the CRM (PostgreSQL) with legacy hospitality MySQL over SSH tunnels with health checks and graceful lifecycle management, enabling real-time guest enrichment across properties.
  • Defined the company technology roadmap with department heads; led build-vs-buy evaluations, choosing custom builds where ROI justified them and SaaS where it did not.

Founder & Lead Engineer MacNeil Media Group, LLC

2019 — Present

Infrastructure, AI systems & full-stack development · Remote

  • Designed a resilient data ingestion pipeline (CareerPulse) across 14 external APIs with independent failure modes — per-provider circuit breakers, adaptive rate limiting, SHA-256 deduplication. 1,024 automated tests with parallel GitHub Actions CI.
  • Built production real-time infrastructure (Luke at the Roost) handling 10 concurrent WebSocket audio streams with 5-provider LLM failover, concurrent async recording across 7 audio channels, and automated multi-platform publishing. 58 episodes in production.
  • Engineered multi-process IPC architecture (Hivemind) with isolated tmux sessions, zero-copy output streaming with automatic degradation, and context-isolated security boundaries. Multi-platform builds across macOS, Windows and Linux. 632 tests.
  • Designed reusable GitHub Actions CI/CD templates with parallel test matrices across all projects; implemented a git worktree workflow enabling parallel agent-driven development streams without branch conflicts.

Lead Infrastructure Engineer Salesforce, Inc.

2014 — 2019

Microservices migration · Puppet · Government Cloud (FedRAMP)

  • Spearheaded migration of monolithic infrastructure to microservices on AWS and GCP using Terraform, Packer and Kubernetes, cutting environment provisioning from days to under an hour.
  • Engineered and maintained Puppet configuration management for 10,000+ production servers including Salesforce Government Cloud, maintaining FedRAMP compliance. Authored configuration standards adopted across the infrastructure org.
  • Led a 5-person engineering team as Scrum Master and technical lead, reducing manual deployment time by 40% through CI/CD automation.
  • Architected monitoring across 10,000+ nodes (Nagios, Zabbix, Zenoss) with custom alerting; established on-call rotation and postmortem process that reduced repeat incidents.
  • Invented a machine-learning photo auto-tagging system using Salesforce Einstein AI — successfully patented.

Senior Infrastructure Engineer CVS Health

2008 — 2014

Enterprise Linux · nationwide retail infrastructure · PCI-DSS

  • Orchestrated nationwide migration of 7,500 retail servers from SCO UNIX to SuSE Linux Enterprise Server on IBM hardware — on time, with zero business continuity impact.
  • Designed core infrastructure services (DNS, SVN, NFS, MySQL, Apache, Zabbix, CUPS) for a fleet of 15,000+ hosts with 50,000+ monitored items.
  • Led PCI-DSS compliance for retail pharmacy infrastructure, passing all external audits.
  • Developed a centralized automation platform managing software distribution, drive encryption and printer configuration across 7,500 retail endpoints.

Earlier career

Patent & writing

US20210241019A1Machine Learning Photographic Metadata. Co-inventor. Automated image classification and metadata tagging using CNNs, filed through Salesforce’s IP program.

Education

Computer Career Institute, Clark University — Worcester, MA · 2003–2005