Hands-on technical leader and Senior Software Engineer/Architect with 32 years of experience managing engineering teams, architecting scalable cloud-based backend services, and delivering high-availability systems. Led development of mission-critical platforms supporting millions of devices and text messages, including patented innovations and AI-enhanced infrastructures using Python, LLMs, and cloud technologies like Google Cloud (GCP). Achieved 100x throughput improvements, 35% latency reductions, and 90% automation in manual processes while mentoring teams to foster high-performance cultures. Expertise in DevOps foundations, Kubernetes evaluation, Docker containerization, Infrastructure as Code (IaC) with Terraform and Ansible, web API development, SQL databases (PostgreSQL, MySQL), and MLOps for AI/ML pipelines. Experienced in global collaboration with international contractors. Seeking a leadership role in Platform Engineering to drive backend services, infrastructure scaling, and cross-functional partnerships for global, high-scale applications like those at Geomagical Labs. Location: Idaho Falls, Idaho, United States | Timezone: Mountain Standard Time
November 2025 - Present
St. George, UT (Remote)
Utilize AI to engineer internal applications, pipelines, and lead other AI Engineers
November 2025 - Present
October 2015 - June 2025
Idaho Falls, ID (Remote)
Architected scalable backend services and led engineering teams.
October 2015 - June 2025
September 2008 - February 2011
February 2011 - September 2015
Idaho Falls, ID
Managed backend services for high-volume messaging.
February 2011 - September 2015
December 2004 - Present
Remote
Designed web apps for small businesses.
December 2004 - Present
December 1992 - December 2007
Various Locations
Early career in backend development.
December 1992 - December 2007
A persistent, LLM-maintained knowledge base that sits between an engineer and the code they are writing. Built on top of Andrej Karpathy’s persistent-wiki gist with an engineering layer for automation: conversation mining, URL harvesting, time-decaying confidence, human-in-the-loop staging, and a “conversation distillation” pipeline that turns daily Claude Code sessions into wiki pages with full historical rollup. Eleven scripts, 192 tests, three cron schedules, running on both my work and home laptops against a shared wiki that grows richer every day. Open source, MIT-licensed, agent-agnostic.
A unified task management platform with a FastAPI backend, React frontend, native MCP server for Claude integration, and a background worker for async operations. Handles task capture from email/SMS/voice/direct input, full task lifecycle (capture → plan → work → hold/resume → close), a V4 document taxonomy for every kind of engineering artifact (TSK, INC, FIX, FND, PLN, RCA, DEP, CRV, RSK, AUD, IMP, SUM, etc.), and integrates with both Asana and GitLab as upstream backends. 260+ commits, 230+ test files across backend, API, worker, and web. Runs as containerized services on Docker Hardened Images, CI-validated on every push.
A SaaS platform that monitors software dependencies across multiple repositories and alerts users when updates are available. Uses a two-stage architecture: a centralized global package registry that refreshes every six hours, plus daily per-user repository scans that compare against the cached registry — dramatically fewer external API calls than per-project polling. Respects language version constraints (so a project on PHP 5.6 doesn’t get upgrade noise for PHP 8 packages), supports npm and Composer today with more ecosystems in the pipeline, and delivers real-time notifications via WebSockets and email. Integrates with both GitHub and GitLab.
Created Python backend with MongoDB, Open vSwitch, and Zabbix monitoring; cut latency by 35% using LLMs/LangChain data pipelines. Technologies: Python, MongoDB, Open vSwitch, LLMs, LangChain, Zabbix.
Architected GCP-based messaging solution for 100x throughput (messages per second per customer needs), handling millions of messages in high-volume setups. Technologies: PHP, SMPP, VMware, Google Cloud.
Automated SDN resident isolation and provisioning to cut manual config by 90%; optimized latency from 15 seconds (early manual tests) to 5 seconds across routers/OS, with a 5-second pause for network detection (e.g., Windows IP requests); used trial-and-error to baseline resources and scale to 5+ cities. Technologies: Open vSwitch, OpenFlow, SDN, Proxmox, PHP, Node.js, GoLang, MySQL, MongoDB, Docker, React.
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2000-2003
Bachelor's in Computer Science |
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1995-2000
Associate's in Computer Science |