🚀 AI Systems Architect | Automation Specialist | Business-First Thinker
I design and implement smart AI and automation systems that solve real-world operational challenges — connecting data, people, and processes to scale business impact.
My work bridges AI, business systems, and data integrity, helping organizations grow faster and operate with clarity.
• AI + Low-Code Automation (n8n, Flowise, Make)
• CRM & RevOps Data Pipelines (HubSpot, Airtable)
• AI Governance + Validation (JSON Schema, RAG frameworks)
• KPI-Driven Workflow Architecture (forecasting, attribution, data hygiene)
→ Building GTM automation systems for data-driven companies
→ Designing operational AI architecture with human-in-the-loop principles
→ Creating self-healing data pipelines and transparency dashboards
For major client projects, I set up dedicated GitHub repositories to manage AI workflows, automation assets, and agent architectures.
This ensures transparency, scalability, and easy knowledge transfer — empowering clients to maintain and grow their systems independently.
🎯 Every automation I build is tied to measurable business KPIs — faster throughput, cleaner data, and lower manual effort.
Let's connect! 🚀
Many of my real-world AI deployments are client-specific and under NDA, so most heavy activity is managed in private repositories.
Each project follows the same architecture principles, KPI-driven implementation, and business-first AI strategy you’ll see in my public repos.
The public projects here reflect the same engineering discipline and delivery philosophy I apply in real client environments.