Jhon Arango

Agentic AI Systems Engineer

I design and build multi-agent systems that autonomously solve complex engineering problems — from novel harness architectures to production deployment at scale.

226K+
Lines of Code
Python, JavaScript, JSX, Shell, CSS, HTML, YAML
47
Services
Across 6 domains
18
AI Agents
Autonomous on cron 24/7
928
Git Commits
Across 15 repositories
6
Domains
46
HTTPS Ports
6
MCP Servers
46%
Token Savings

What I Build

Multi-Agent Orchestration

Purpose-built agent harnesses where specialized AI agents collaborate on complex tasks — with structured communication, shared memory, and human-in-the-loop governance at every stage.

Hybrid LLM Routing

Intelligent model selection that dynamically routes between cloud and local models based on task complexity, context requirements, and cost constraints — optimizing for both capability and efficiency.

AI Governance & Evaluation

Real-time monitoring, evaluation, and control systems for autonomous AI operations — tracking agent decisions, resource usage, and performance across multi-agent workflows.

Methodology

01

Collect

Autonomous ingestion of system artifacts and data

02

Analyze

AI-driven decomposition of complex interdependencies

03

Assess

Evaluation against operational and safety baselines

04

Report

Actionable intelligence with full evidence lineage

A systematic methodology for deploying AI agents against complex engineering problems. Each phase is autonomous, auditable, and governed.

By The Numbers

One person. One server. 6 domains. Built with Claude Code.

928
Git Commits
Across 15 repositories
47
Services
18 agents + 47 services across 6 domains
24
COMET Views
AI governance framework with facilitated workshops
18
Autonomous Agents (24/7)
46
HTTPS Ports (Tailscale)
6
MCP Servers
20+
Industry Standards Cited
5
Local LLM Models
46%
MuXD Token Savings
22+
Blog Articles Published
8
Analysis Layers (FS-RE)

Latest Articles

View All Articles

Let's Build Something

Currently exploring opportunities in agentic AI systems, AI safety, and applied AI research.

jhon.arango@IntrepidCyberSecEng.com
(667) 355-4069

Scan to save contact Scan to save contact