Systems-first builder
A project is not finished when the UI works once. I pay attention to deployment, logs, failure cases, and whether someone else could operate it.
Paul Hogan / Systems Engineer
Building AI infrastructure, security systems, and robotics-oriented autonomy.
AI Systems Engineer & Visionary
Most of my projects start because I want something to actually run: a server that stays online, an agent that can use tools, a detection system staff can review, or a robotics idea I can test and improve.
Software
Agent runtimes, tools, dashboards, and backend services
Security
Anti-cheat signals, review tools, and staff workflows
Autonomy
Robotics, reinforcement learning, perception, control
About
Self-taught engineering, with a focus on projects that have to work outside a tutorial.
I am a high school student who has spent a lot of time building servers, agent tools, security projects, hosting workflows, and robotics experiments.
Distributed AI infrastructure
A lot of my work connects separate pieces: agents calling tools, workers staying online, files moving between services, and dashboards showing useful state.
Autonomy direction
Long-term, I want to work on robotics that combines perception, control, safety, and useful human oversight.
Featured Work
Selected case studies in AI infrastructure, security, hosting, and systems engineering.
A focused set of work that best represents how I build systems: what they coordinate, where they run, what constraints they deal with, and why the architecture matters.
Project / Anti-cheat and moderation tools
SentinelAC
A security project for collecting gameplay signals, reviewing suspicious behavior, and supporting server-side enforcement.
SentinelAC grew out of FiveM server work. I built around the hard parts that matter in practice: what the client can and cannot be trusted to report, how detections get reviewed, and how to avoid turning every unusual action into an automatic ban.
TypeScriptNode.jsPythonLuaMongoDBDockerML pipelines
Read moreHow it fits together
Node 01
Game server
Node 02
Detection rules
Node 03
Review panel
Node 04
Staff action
Highlights
Pattern detection rules
AIICD experiments
Review tools for staff
Project / Local agent platform
CaroNet Workforce
A local-first agent platform with workers, tools, file handling, and an admin surface for running private automation.
CaroNet Workforce is where I have spent the most time thinking through how agents should actually run: where tools execute, how workers stay connected, how files move around, and how an operator can see what is happening.
TypeScriptNext.jsNode.jsDockerWebSocketsLocal LLMsMongoDB
Read moreHow it fits together
Node 01
Admin surface
Node 02
Orchestrator
Node 03
Worker nodes
Node 04
Agent tools
Highlights
Local worker nodes
Dockerized runtime
Tool and file workflows
Project / Hosting / payments / automation
CaroNet InfraHost
Hosting work covering customer plans, game servers, web hosting, Stripe payments, and automatic setup.
InfraHost came from running hosting as an actual service, not just a demo. The work involved customer-facing pages, payment flow, server setup, and the operational details that come with keeping hosted services online.
Node.jsStripeLinuxDockerNetworkingWeb hostingGame servers
Read moreHow it fits together
Node 01
Customer portal
Node 02
Stripe billing
Node 03
Provisioning
Node 04
Hosted workloads
Highlights
Active customer operations
Stripe payment integration
Automated provisioning
Technical Skills
Tools I use across the projects.
Languages
TypeScriptJavaScriptPythonLuaC++ fundamentalsSQL
Artificial Intelligence / ML
Agent toolsLocal LLMsPrompt and tool APIsML experimentsReinforcement learning study
Infrastructure
DockerLinux serversReverse proxiesOn-prem deploymentService management
Robotics
Autonomy conceptsPerception systemsControl loopsSimulation workflows
Backend Systems
Node.jsNext.jsWebSocketsREST APIsMongoDBAuth flows
Networking / Security
Event loggingAnti-cheat systemsModeration toolingThreat modelingNetwork services
Cloud / DevOps
CI/CDStripe integrationHosting opsMonitoringAutomated provisioning
Leadership
Large community operations taught me a different side of engineering.
Beyond code, I have helped with operations in a 100,000+ member technical and gaming community, where tooling, moderation, uptime, and staff coordination all matter.
100,000+ member operations
Experience helping people, procedures, and escalation paths work at a scale where weak process shows up quickly.
Moderation and trust systems
Work around moderation tools, abuse response, staff permissions, and community safety.
Technical coordination
Turning operational needs into tools and processes people can actually use.
Research Interests
Autonomous, Smart systems that operate in the real world. Creating efficiency and control.
I am interested in building autonomous systems that aren't only able to change lives, but save them. I want to work on robotics and AI systems that can operate in the real world, especially in high-stakes settings like defense, disaster response, and critical infrastructure.
Autonomous robotics
Military robotics
Distributed intelligence
AI agents
Reinforcement learning
Perception systems
Human-machine collaboration
Defense technology
Technical Notes
Notes on what I am learning and building.
Short technical writeups on robotics, security, agent tools, and the project decisions I want to remember.
Robotics / RL
Reinforcement Learning for Robotics
Notes on the reliability, safety, and testing problems that show up when RL meets robotics.
Read noteSecurity
Anti-Cheat Detection Pipelines
How event logs, review workflows, and false-positive controls shape practical anti-cheat work.
Read noteAgent tools
Local Agent Platforms
Design questions behind agent platforms that run near private data and real users.
Read noteDirection
Where I want the work to go next.
WHERE I WANT TO GO NEXT NEEDS EDIT
Make autonomy reliable enough to leave the lab.
Move AI systems closer to real operators and real infrastructure.
Keep security, logging, and deployment close to the core design.
Contact
Contact and project links.
For schools, labs, technical reviewers, and collaborators interested in the work on this site.