AI Software
Building intelligent applications and workflows where AI handles heavy lifting while engineering keeps quality, security and maintainability in check.
Luther Sabuero
AI Software
Engineer
AI-Native Engineering • Automation • Full-Stack Systems
I help businesses turn ideas into production-ready software — faster and more reliably — by combining engineering discipline with AI-native workflows.
From first concept to live deployment, I use AI as an engineering partner while keeping architecture, security and reliability in human hands.
Think. Architect. Vibe Code. Engineer. Deploy.
Luther Sabuero
AI Software Engineer
Available for opportunities
20+
Years Experience
AI
First Engineer
What I Build
Capabilities
Six focus areas where AI-native engineering meets real-world systems.
Vibe Coding
A structured, iterative way to build software with AI — from natural-language exploration to architecture, testing, review and deployment.
AI Agents
Designing agents that reason through workflows, retrieve information and carry out structured tasks with clear guardrails.
Automation
Replacing repetitive manual work with reliable automated systems, so teams can focus on decisions that actually need human judgment.
Cloud & Infrastructure
Cloud platforms, VPS, networking, deployment architecture and systems engineering that keep software running in production.
Full-Stack Systems
End-to-end web applications, APIs, databases, dashboards, business platforms and integrations built as cohesive systems.
About
Engineering experience,
AI-native delivery
Over the past 20+ years, I have built and run infrastructure, networks, cloud platforms, enterprise systems and business operations — the kind of hands-on foundation that helps me understand what actually matters when software meets the real world.
Today, I bring that perspective to AI-native software engineering. I use Vibe Coding, AI agents and modern tooling to move from idea to production faster — without sacrificing structure, security or reliability.
My role is not just to write code. It is to understand your problem, design the right system, and use AI to accelerate every step of the 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
- 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
- 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
- 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
- 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
- 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
Training & Continuous Learning
Cloud & Infrastructure Operations
Professional developmentAzure, Cloudflare, VPS, Linux, Windows Server, virtualization, backup and remote infrastructure.
Microsoft 365 & Enterprise Systems
Professional developmentMicrosoft 365 / Office 365, Exchange, SharePoint, Intune, Active Directory and endpoint management.
AI-Native Software Engineering
Continuous learningVibe Coding, LLM workflows, AI agents, prompt engineering and AI-assisted full-stack development.
Networking & Wireless Engineering
Professional developmentEnterprise networking, wireless PtMP design, Ubiquiti deployments and remote site infrastructure.
Trading Systems Development
Professional developmentMetaTrader 5, MQL5, market data pipelines, multi-timeframe analysis and risk-aware decision systems.
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.
Think
Define the problem.
Explore
Use AI to investigate possible solutions.
Architect
Define system boundaries and architecture.
Build
Use AI coding agents to implement.
Test
Validate functionality and assumptions.
Review
Challenge AI-generated implementation.
Refactor
Improve quality and maintainability.
Deploy
Move the system into production.
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.
Architecture before code.
Solve the problem, not just the prompt.
AI accelerates engineering; it does not replace engineering judgment.
Keep systems modular.
Automate repetitive work.
Test continuously.
Security by design.
Document important decisions.
Build for maintainability.
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
How I Can Help
Ways we can work together
I partner with teams and founders to turn technical problems into engineered systems.
AI-Native Software Engineering
I work with you to turn ideas into production-ready systems, using AI as an engineering partner across architecture, implementation, testing and deployment.
- System architecture and design
- AI-assisted implementation
- Code review and quality gates
- Testing, deployment and monitoring
Automation & AI Agents
I build intelligent workflows and agents that reduce repetitive work — from data collection and classification to end-to-end business process automation.
- Workflow analysis and design
- AI agent architecture
- Integration with existing tools
- Monitoring, maintenance and iteration
Cloud & Infrastructure
I design and operate reliable cloud, network and enterprise infrastructure that keeps your applications running securely and cost-effectively.
- Cloud architecture (Azure, Cloudflare, VPS)
- Network and wireless design
- Microsoft 365 / Azure administration
- Backup, security and monitoring
Trading & Market Intelligence
I engineer structured, testable trading systems and market intelligence pipelines with clear decision boundaries and risk-aware design.
- Multi-timeframe analysis engines
- Decision pipeline design
- Risk and position management
- Backtesting and validation frameworks
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.