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Luther Sabuero

AI Software
Engineer

Vibe Coding • AI Agents • Automation • Full-Stack Systems

I turn ideas into production-ready software using AI-native engineering workflows.

From natural-language ideas to architecture, code, testing and deployment — I use AI as an engineering partner to build intelligent software systems.

Think. Architect. Vibe Code. Engineer. Deploy.

Engineering Flow
IDEA
AI
ARCHITECTURE
VIBE CODING
AI AGENTS
SOFTWARE
TESTING
DEPLOYMENT
PRODUCTION

What I Build

Capabilities

Six focus areas where AI-native engineering meets real-world systems.

AI Software

AI-powered applications, intelligent interfaces, AI-assisted workflows and software systems.

Vibe Coding

AI-native development using structured prompts, iterative coding, architecture, testing and refinement.

AI Agents

Intelligent agents capable of reasoning through workflows, retrieving information and performing structured tasks.

Automation

Business and technical workflows transformed from repetitive manual processes into automated systems.

Cloud & Infrastructure

Cloud platforms, VPS, networking, deployment architecture, systems and infrastructure.

Full-Stack Systems

Modern web applications, APIs, databases, dashboards, business platforms and integrations.

About

From IT Engineering to
AI Software Engineering

With more than 20 years of experience in IT engineering, I have worked across infrastructure, networking, cloud platforms, enterprise systems, web technologies, automation and business operations.

Today, I combine that engineering foundation with AI-native development and Vibe Coding to build software faster while maintaining structure, reliability, security and maintainability.

My focus is not simply writing code. It is understanding a problem, designing the right system and using AI to accelerate the entire engineering lifecycle.

AI-Native DeveloperVibe Coding PractitionerAutomation ArchitectCloud & Systems Engineer

Career Evolution

IT Infrastructure
Networking & Systems
Cloud & Enterprise IT
Web & Software
Automation
AI
AI-Native Software Engineering

IT Experience

20+ Years of IT Engineering

The engineering foundation behind the AI-native work — Microsoft Azure, Microsoft 365, Google IT, networking, enterprise systems, security and infrastructure.

Career Timeline

  1. Foundation

    IT Infrastructure & Systems

    Building and maintaining physical servers, virtual machines, an in-house data center, workstations and base IT operations.

    • Physical server & rack engineering
    • Virtual machines (Hyper-V / VMware)
    • In-house data center operations
    • Windows Server administration
    • Backup and recovery
  2. Expansion

    Networking & Enterprise IT

    Designing and operating networks, enterprise systems, communications and multi-site IT environments.

    • Active Directory & Group Policy
    • Exchange & email systems
    • Wireless & enterprise networking
    • Cloud & in-house PABX
    • Multi-site IT management
  3. Cloud

    Cloud & Microsoft 365

    Migrating and operating workloads on Microsoft Azure, cloud VMs, Microsoft 365 and Office 365.

    • Microsoft Azure administration
    • Cloud VMs & VPS deployment
    • Microsoft 365 / Office 365
    • Intune / endpoint management
    • Cloud migration
  4. Modern

    Web, Automation & Software

    Building web applications, automating business and technical workflows, and moving into software engineering.

    • Web development
    • Workflow automation
    • Business systems integration
    • APIs & scripting
  5. AI-Native

    AI Software Engineering

    Combining 20+ years of IT engineering with AI, LLMs, agents and Vibe Coding to build production software.

    • AI-native development
    • Vibe Coding methodology
    • AI agents & automation
    • Full-stack AI systems

Employment History

Foxchit Business System

IT Support

Private / IT Services

Foundational IT support role — desktop, hardware, basic systems and end-user troubleshooting.

POStech Technology

IT

Private / Technology

IT operations across point-of-sale and business technology environments.

Al Naser Club

IT

Semi-Government

IT operations in a semi-government sector organization — systems, networking and user support.

URUK Engineering & Contracting Co. LLC

IT & Software Engineering

EPC / Iraq EnergyCurrent

Current role — IT infrastructure, enterprise systems, cloud and AI-native software engineering for URUK Group, including the live EPC Opportunity Intelligence platform.

Platforms & Vendors

Microsoft Cloud

  • Microsoft Azure
  • Microsoft 365
  • Office 365
  • Windows Server
  • Active Directory
  • Exchange
  • SharePoint
  • Intune / Endpoint Manager

Google IT

  • Google IT Support Professional
  • Google Workspace
  • Google Cloud fundamentals

Cloud & Edge

  • Cloudflare
  • VPS / Linux
  • Cloud deployment
  • DNS / CDN
  • CI/CD

Infrastructure & Compute

  • Physical Servers
  • Virtual Machines (Hyper-V / VMware)
  • In-House Data Center
  • Cloud VMs (Azure / VPS)
  • Server hardware & rack engineering
  • Storage & RAID

Enterprise Systems

  • ERP
  • Business Systems
  • Backup & Recovery
  • Virtualization
  • IT Operations

Communications

  • Cloud PABX
  • In-House PABX
  • VoIP / SIP
  • Telephony systems
  • Voice & unified communications

Networking

  • Ubiquiti
  • Wireless / PtMP
  • Enterprise networking
  • PoE
  • Remote infrastructure

Security & Identity

  • Identity & Access
  • Microsoft 365 security
  • Endpoint security
  • Network security
  • Backup strategy

Credentials & Training

  • Google IT Support Professional

    Google

    IT support, systems administration, networking, security and troubleshooting foundations.

Full CV available on request.

Featured Projects

Engineering, not demos

Real systems built with AI-native workflows — from trading intelligence to off-grid infrastructure. Click any project for the full case study.

Deployed Work

Live systems, not just concepts

Real, shipped projects you can visit. Each link opens the live deployment — these are production systems, not screenshots.

Methodology

Vibe Coding, Engineered.

Vibe Coding is not random prompting and accepting whatever AI generates. My approach combines natural-language interaction with software architecture, engineering standards, testing, security and continuous review.

01

Think

Define the problem.

02

Explore

Use AI to investigate possible solutions.

03

Architect

Define system boundaries and architecture.

04

Build

Use AI coding agents to implement.

05

Test

Validate functionality and assumptions.

06

Review

Challenge AI-generated implementation.

07

Refactor

Improve quality and maintainability.

08

Deploy

Move the system into production.

09

Monitor

Observe and improve continuously.

AI makes software development faster. Engineering makes it reliable. Vibe Coding connects the two.

AI Agent Workflow

AI as multiple engineering roles

AI can act as several engineering roles through the lifecycle. The human remains responsible for final engineering decisions.

AI Architect

Explores architecture and technical decisions.

AI Developer

Implements features and components.

AI Tester

Creates tests and identifies potential failures.

AI Reviewer

Challenges implementation and detects issues.

AI Documentation Engineer

Maintains technical documentation.

AI DevOps Assistant

Supports deployment and infrastructure workflows.

Human Engineering Judgment

AI accelerates every role. The human owns architecture, security and production decisions.

How I Build

Engineering Principles

Ten principles that keep AI-assisted development reliable, secure and production-ready.

01

Architecture before code.

02

Solve the problem, not just the prompt.

03

AI accelerates engineering; it does not replace engineering judgment.

04

Keep systems modular.

05

Automate repetitive work.

06

Test continuously.

07

Security by design.

08

Document important decisions.

09

Build for maintainability.

10

Production reliability over prototype hype.

AI Engineering Lab

Ongoing experimentation

A living view of what is being built, researched and explored. Status labels reflect real state — no inflated claims.

AI Trading Intelligence

ACTIVE DEVELOPMENT

Multi-timeframe XAUUSD analysis engine with AI reasoning and a 12-step decision pipeline.

Vibe Coding Framework

ACTIVE

The AI-native engineering methodology applied across every project.

EPC Opportunity Intelligence

DEPLOYED / ACTIVE

Live platform monitoring 61+ Iraq energy sources for EPC opportunities at leads.urukepc.com.

AI Business Automation

EXPLORATION

Turning repetitive business workflows into automated, monitored systems.

AI E-Commerce

PROJECT

Headless commerce architecture built with AI-assisted workflows.

Wireless Edge Infrastructure

DEPLOYED / PROJECT

Solar-powered off-grid PtMP wireless network for remote field equipment.

Technology Stack

Tools by purpose

Organized by role rather than a logo wall. Only technologies that can reasonably be supported by my actual experience.

AI

  • LLMs
  • AI Agents
  • Prompt Engineering
  • AI-assisted Development
  • Automation
  • Intelligent Workflows

Architecture Gallery

Interactive system diagrams

Click any architecture to open a detailed explanation of how the system is structured.

Business + Engineering

Between technology and business

My work sits between a business problem and a business outcome. Engineering is the bridge — AI and automation are how the bridge is built faster.

Understanding business requirements is not optional. The most elegant code that solves the wrong problem is still a failure. This is why engineering judgment matters more as AI accelerates implementation.

Problem → Outcome

BUSINESS PROBLEM
TECHNICAL ANALYSIS
SYSTEM DESIGN
AI
AUTOMATION
SOFTWARE
INFRASTRUCTURE
BUSINESS OUTCOME

Contact

Let's Build Something Intelligent.

Have an idea, workflow or business problem that could become software? Let's turn it into an engineered system.

Direct channels

From idea to intelligent software.

All fields required.