About Me
Most AI initiatives die in the gap between the strategy deck and the production deploy. I was built for that gap.
The Architect Who Carries It All The Way
Enterprises don't have an AI-model problem — they have a translation problem. The business knows where it bleeds money. Engineering knows what's possible. Very few people can stand in the middle, speak both languages fluently, and carry a solution the whole distance. That's my job description.
🎯 What I Actually Do
I sit with operators and executives to find the problem worth solving, pressure-test it against the data and systems that actually exist, then architect, build, and ship the platform myself — with the evals, guardrails, and runbooks that keep it alive after the applause.
🏛️ Where I Sharpen It
At SKYTEK Solutions, LLC I lead the AI transformation practice for a security-first MSP that's served businesses since 2012 — which means everything I ship has to survive real users, real audits, and real 3 a.m. incidents. That discipline travels with me into every industry I work in: finance, healthcare, professional services, logistics, and beyond.
💡 The Operating Belief
"Transformation isn't a project you deliver — it's a capability you leave behind." Every engagement ends with a running system andthe team to run it. The measure of my work is what keeps shipping after I've moved to the next problem.
Operating Principles
Business First, Model Second
The technology is chosen last. If the ROI case doesn't survive a skeptical CFO, it doesn't get built.
Production Is The Only Demo
Prototypes teach; they don't sell. Everything I show runs on real data with real guardrails, evals, and observability.
Teams Over Heroes
I hire, mentor, and hand over. What I leave behind is a capability, not a dependency.
Full-Stack, In The Widest Sense
From the boardroom framing of a problem to the observability stack that keeps the answer alive at 3 a.m.
🏆 Principal-Level Expertise
Generative AI & LLM Stack
AI/ML Foundations
Cloud & Platform Engineering
Backend & APIs
Frontend & UI
Data & Automation
Delivery & Leadership
Where I Operate Deepest
AI Strategy & Architecture
From problem framing to signed architecture — pricing, risk, and ROI baked in
GenAI, Agents & LLMOps
Agentic systems, RAG, evals, and guardrails that survive real production
Leadership & Enablement
Standing up AI teams and centers of excellence so capability outlives the engagement
Selected Transformations
End-to-end systems that survived contact with reality — real users, real audits, real 3 a.m. incidents.
Autonomous Service Operations Platform
AI as the First Responder for Enterprise Support
A production agentic layer that acts as the first responder for enterprise support: listens in real time, extracts intent, checks urgency against runbooks, opens tickets in the PSA, and routes to a human only when the AI can't safely resolve. Live inside a security-first MSP serving businesses since 2012.
✅ Key Highlights:
🛠️ Tech Stack:
Performance Metrics
Enterprise Knowledge Copilot (RAG)
ChatGPT For Your Company — With Access Control That CISOs Sign
Production RAG platform serving multi-tenant departments with clause-level citations, role-based retrieval, and full audit logs. Designed so answers are not just correct — they are provably correct, traceable to source, and safe to expose to auditors.
✅ Key Highlights:
🛠️ Tech Stack:
Performance Metrics
AI Quality Assurance & Coaching Engine
Making Quality Audits Autonomous — Not Just Cheaper
An automated review pipeline that transcribes, evaluates, and scores support conversations against SOP, tone, and outcome — then feeds coaching prompts back to individual engineers. Cut human QA review time by 80% while raising, not lowering, standards.
✅ Key Highlights:
🛠️ Tech Stack:
Performance Metrics
Also In Production
Saava.ai — Conversational AI Lead Engine
Dual-agent platform — Ava handles inbound web chat, voice, and live avatar; Adam calls back within minutes via Twilio. n8n backbone orchestrates quoting, PSA ticketing, and category-routed email. Live with customers; being spun out as a standalone SaaS.
Identity Lifecycle Automation
Zero-touch onboarding and offboarding across Entra ID, Intune, and Azure — from Forms trigger to signed-off audit trail
SOC Response Copilot
Form-based alert confirmation with location intelligence and auto-suppression — turns MDR/SIEM noise into signal in seconds
Profitability & FinOps Dashboards
Executive-grade Power BI dashboards on top of MySQL models — client-level margin, cost drift, and AI-driven anomaly flags
Document Intelligence for Compliance
Retrieval + extraction platform with clause-level citations and human checkpoints — turned days of review into minutes, audit-ready by construction
Revenue Operations Agent Platform
Multi-agent layer for lead enrichment, proposal drafting, and forecast hygiene — sales ops as a background process
Where AI Goes Next
The four transformation bets I'm actively architecting for enterprise — not demos, not decks. Real platforms, real budgets.
Fully Autonomous Service Operations
Multi-agent systems that own routine incidents end-to-end — triage, diagnose, resolve, document — with humans reserved for the judgment calls only humans should own. The next frontier of self-driving IT.
Enterprise-Grade Agent Governance
The missing operating system for agentic AI in regulated environments: identity, permissions, cost caps, red-team evals, and full audit trails — so agents earn the right to run at 3 a.m.
Self-Curating Knowledge Fabric
Vector estates that curate themselves — de-duplicate, freshness-score, and prune based on real usage. The end of stale RAG answers and the birth of knowledge platforms leaders can actually trust.
AI That Adapts To Who's Asking
Role-, region-, and risk-aware AI: dynamic retrieval and response scopes bound to identity and compliance context. Same platform. Every user gets the truth they're allowed to see.
The Operating Belief
"The next decade of AI won't be won by the most powerful model — it will be won by the leaders who can name the problem worth solving, ship the answer through a real production floor, and leave behind a team that keeps shipping. That's the discipline. That's the whole job."
Have a business problem that smells like AI? Let's find out.
Have A Business Problem That Smells Like AI?
First conversation is a working session, not a sales call. Bring the problem, I'll bring the questions.
Start The Conversation
Advisory, transformation engagements, and hands-on architecture — a paragraph is enough to get started.
Contact Information
Connect on Social
Open To Advisory
Enterprise transformations, architecture reviews, and CoE build-outs