Building Intelligent
Automation Systems
That Scale
Architecting the Future of Enterprise Efficiency. I bridge the gap between complex business logic and agentic AI. From RAG-based knowledge vaults to autonomous sales engines, I build the systems that allow companies to scale without increasing headcount.
About Me
AI Enablement Engineer & Automation Architect
As the AI Champion at NextEra Energy, I operate at the intersection of executive strategy and technical execution. I specialize in bridging the gap between 'bold visions' and functional, enterprise-scale AI deployments.
My work focuses on Agentic Orchestration—transforming AI from simple chatbots into autonomous digital employees. By architecting sophisticated RAG pipelines and multi-agent workflows, I help organizations move beyond experimentation to achieve measurable gains in operational efficiency and revenue growth.
Beyond my corporate initiatives, I am a hands-on builder. I dedicate my time to developing cutting-edge automation systems that solve real-world problems, constantly pushing the boundaries of what is possible with n8n, Docker, and Model Context Protocol (MCP). I am driven by the challenge of turning complex business logic into seamless, intelligent infrastructure.
Beyond the Code
Outside of the technical world, my life is grounded in faith, family, and growth. I am a devoted husband and a father to a young son who keeps me inspired to build a better future.
I am a firm believer in constant self-improvement—whether I'm pushing my limits in the gym, diving into a deep-dive documentary, or traveling with my family to explore new cultures. You'll often find us at the beach or pool, recharging for the next adventure. I approach life with the same curiosity I bring to my code: always ready to learn, explore, and embark on a new challenge.
Skills & Experience
From strategic AI product management to hands-on technical implementation—building the full stack of intelligent automation
AI & Agentic Orchestration
- LLM Architectures: GPT-4o, Claude 3.5 Sonnet, Llama 3
- Agentic Workflows: Multi-agent orchestration, Task Delegation, Tool-use
- Advanced RAG: Retrieval-Augmented Generation, Vector DBs (Pinecone/Weaviate)
- Prompt Engineering: Chain-of-Thought, Structured Output (JSON), Context Window Optimization
- MCP (Model Context Protocol): Enterprise-grade context integration
Automation & Infrastructure
- n8n (Self-Hosted): Production-grade automation and Docker deployment
- Integration Engineering: Custom REST API Development & Webhooks
- CRM Systems: Salesforce API & GoHighLevel (GHL) Architecture
- DevOps: Docker, Git/Version Control, Server Management
- Data Orchestration: Pipeline design, data cleaning, and ETL processes
Strategic AI Product Management
- AI-SDLC Management: Leading the AI Software Development Life Cycle
- Stakeholder Discovery: Mapping executive "bold visions" to technical requirements
- AI Governance: Ethical guardrails, compliance, and hallucination mitigation
- Agile/SAFe: Scrum leadership and Requirement Architecture (BRD/FRD)
- ROI Modeling: Quantifying labor-savings and revenue-generation from AI
Technical Skills
- Python Programming: Advanced scripting and automation logic
- JavaScript: Custom n8n Function Nodes and logic manipulation
- Database Management: SQL, NoSQL, and Vector Database indexing
- Process Optimization: Six Sigma (Yellow Belt) and Lean workflow mapping
- Change Management: Enterprise-wide AI literacy and adoption strategies
Leadership & Communication
- Executive Stakeholder Management: Translating technical capabilities to business value
- Cross-functional Team Leadership: Coordinating between technical and business teams
- Technical Communication & Documentation: Creating clear, actionable AI documentation
- AI Training & Enablement Programs: Building organizational AI literacy
- Change Leadership & Adoption Strategy: Driving enterprise-wide AI transformation
Data & Analytics
- Data Pipeline Architecture: Designing scalable ETL and data flow systems
- ETL Process Design: Extract, Transform, Load automation workflows
- Analytics & Business Intelligence: Transforming data into actionable insights
- Data Quality & Governance: Ensuring data integrity and compliance
- Metrics & KPI Development: Defining and tracking AI/automation success metrics
Featured Projects
Real-world automation solutions that deliver measurable impact
AI Adoption Roadmap
Architected a comprehensive enterprise AI adoption strategy that maps the journey from initial experimentation to scaled deployment. Includes governance frameworks, change management protocols, training curricula, and measurable milestones to guide organizational transformation.
Halal Investor Agent
Developed a sophisticated RAG-based investment research system that analyzes stocks for Shariah compliance. Combines vector databases with custom business logic to filter investments based on complex religious and financial criteria, delivering actionable insights with full citation trails.
Lead Gen to GHL Workflow
Engineered an end-to-end lead generation and nurture infrastructure that automatically captures, enriches, scores, and routes leads into GoHighLevel CRM. Built with n8n and custom API integrations to create a seamless sales operations pipeline that eliminates manual data entry.
"The Spark" AI Newsletter
Created and curate an enterprise-focused newsletter designed to educate employees on practical AI integration strategies. Delivers actionable insights on incorporating AI into daily workflows, featuring real-world use cases, tool recommendations, and best practices for organizational adoption.
AI-Powered Document Intelligence System
Engineered a RAG-based document processing system that extracts insights from enterprise documents including contracts, reports, and SOPs. Leverages vector databases and advanced NLP to enable natural language queries across thousands of documents, delivering instant answers with source citations.
Cross-Departmental AI Use Case Library
Created a comprehensive repository of AI use cases across multiple business functions, complete with implementation guides, ROI projections, and technical requirements. This strategic asset accelerates AI adoption by providing proven templates and reducing experimentation costs across the organization.
Let's Build the Future Together
Open to opportunities where I can architect intelligent systems that drive real business outcomes. Let's discuss how agentic AI can transform your organization.