Hi, I am

Carleton Lees

Full-Stack Systems & AI Engineering

I work across the full technical stack: hardware, software, deployment, maintenance, automation, and AI tooling.

Hardware
Servers, endpoints, storage recovery
Software
Kōdō Code and shipped web projects
Deployment
Cloudflare Pages, Docker, release flow
Maintenance
Linux, OpenWrt, troubleshooting
Automation
Agent workflows and repeatable ops
AI Tooling
Codex, Claude Code, AI review
Location
Reston, VA
Phone
(703) 626-5151
Email
carletonlees@gmail.com
GitHub
github.com/boggedbrush
Project
kodocode.app
Portrait of Carleton Lees
Full-stack systems builder working across hardware, software, deployment, maintenance, automation, and AI tooling.

Profile

About

Full-stack systems work means understanding the layer you are changing and the layers it depends on.

I am studying Information Technology at George Mason University with a concentration in Computational Platforms and Infrastructure.

My practical work spans hardware support, software delivery, deployment, maintenance, AI-assisted development, Codex and Claude Code workflows, Git/GitHub collaboration, AI automation, AI code review, endpoint setup, home lab administration, self-hosted services, OpenWrt networking, and recovery planning.

I am seeking a full-stack systems, AI engineering, cloud infrastructure, server support, or technical operations role where reliable systems and clear engineering workflows matter.

Work

Experience

Support, operations, classroom technology, and small-business technical logistics.

January 2021

Instructor

Mt. Kim Martial Arts · Vienna, VA

Supported instruction, daily operations, studio administration, and technical logistics in a small business environment.

  • Supported instruction, operations, and studio administration under the headmaster.
  • Reworked supply inventory and consolidation practices to reduce daily friction.
  • Instructed and supervised classes with attention to structure, safety, and pacing.
  • Integrated basic networking and cybersecurity practices into business operations.
  • Supported online class logistics during COVID-19 lockdowns.
June 2018

Student IT Assistant

James Madison High School · Vienna, VA

Assisted campus technology support across hardware maintenance, classroom deployment, imaging, and asset records.

  • Supported the head of IT on campus hardware and support tasks.
  • Performed laptop and desktop upgrades, setup, imaging, and routine maintenance.
  • Assisted classroom TV standardization and deployment across multiple rooms.
  • Organized school technology hardware and maintained inventory records.
  • Applied and removed asset tags for equipment tracking and lifecycle records.

Build

Projects

Self-directed work across hardware, software, deployment, maintenance, automation, and AI tooling.

Layer map

Full-Stack Systems Practice

Concrete examples across hardware, software, deployment, maintenance, automation, and AI tooling.

  • Hardware: maintained endpoints, server hardware, asset records, and storage recovery plans.
  • Software: built Kōdō Code and deployed public web projects with product-oriented implementation habits.
  • Deployment: shipped Cloudflare Pages projects, Docker workloads, public docs, and release-ready artifacts.
  • Maintenance: operated Linux services, OpenWrt networking, self-hosted workloads, and troubleshooting routines.
  • Automation and AI tooling: use Codex, Claude Code, GitHub, agent workflows, and AI-assisted review to plan, build, inspect, and refine changes.
HardwareSoftwareDeploymentMaintenanceAutomationAI tooling
Ongoing

Homelab & Infrastructure

Self-managed server and networking environment used for Linux services, Docker workloads, and practical troubleshooting.

  • Maintain a small server rack with OpenWrt network infrastructure.
  • Operate self-hosted media, utility, and internal tooling workloads in Docker containers.
  • Completed a safe data migration during an active hard-drive failure.
LinuxDockerOpenWrtStorage recovery
Ongoing

AI Automation & Review Workflows

Applied AI tooling practice using Codex, Claude Code, GitHub workflows, and review automation to plan, build, inspect, and refine software changes.

  • Use AI coding agents to turn requirements into plans, patches, verification steps, and review feedback.
  • Apply Git and GitHub workflows to keep AI-generated changes inspectable, reversible, and reviewable.
  • Build small automations that connect LLM assistance with practical development and operations tasks.
CodexClaude CodeGitGitHubAI automation

Selected Web Work

Public Cloudflare Pages projects used to practice UI implementation, hosting, and delivery habits.

  • Published focused frontend projects with separate live endpoints.
  • Used lightweight deployments to test interface polish, product framing, and release discipline.
FrontendDeploymentPortfolio

Study

Education

Coursework tracks toward infrastructure, cloud systems, security, data, and project delivery.

August 2023 to Present

B.S., Information Technology

George Mason University · Fairfax, VA

Focus: Computational Platforms and Infrastructure

Relevant coursework

IT Architecture Fundamentals, Information Security Fundamentals, Database Fundamentals, Applied IT Programming, Modern Telecommunications, Systems Analysis and Design, Cloud Computing

Upcoming

Cloud Infrastructure, Operating Systems Fundamentals, Cloud Services Management, Cloud Security

Capability

Skills

Grouped by the layers I can work across from physical systems to AI-assisted delivery.

Hardware

  • Server hardware
  • Computer hardware
  • Endpoint setup
  • Storage recovery
  • Asset management

Software

  • TypeScript
  • Frontend implementation
  • Kōdō Code
  • Applied IT programming
  • Product documentation

Deployment

  • Cloudflare Pages
  • Docker
  • Cloud computing
  • Release workflow
  • Public project sites

Maintenance

  • Linux
  • Windows
  • macOS
  • OpenWrt
  • Network troubleshooting
  • Backup and recovery
  • Hardware maintenance
  • Software troubleshooting

Automation

  • Agent workflows
  • AI automation
  • Repeatable operations
  • Git
  • GitHub
  • Review workflows

AI Tooling

  • AI engineering
  • Large language models
  • LLM workflows
  • Codex
  • Claude Code
  • Agentic coding
  • AI code review

Contact

Let us connect

Open to full-stack systems, AI engineering, cloud infrastructure, server support, and technical operations roles.

Authorized to work in the US for any employer.

carletonlees@gmail.com (703) 626-5151 github.com/boggedbrush Download resume PDF