AI & Cloud — Atlanta, GA
The model is rarely the problem. It's everything around it — how your team is structured, how you test and deploy, how you operate at scale, and how you sustain it past day one. That's where we work.
Start a conversationWho we are
We help you decide what to build, what to kill, and what to test first — before you waste time on the wrong thing.
We don't hand you a roadmap and leave. We're in the weeds with you — architecture, deployment, day-2 ops, the hard tradeoffs.
We'll push back on your assumptions, stress-test your approach, and tell you when something won't work. That's what a real partner does.
Not POC specialists. We've built, shipped, and operated AI systems at scale — and we stay until yours runs the same way.
How we work
Not sure where to start or whether your idea holds up? We assess across technology, market, team, and process — and give you a clear go/no-go with a path forward.
We work alongside your team to take an initiative from concept to working product. Technology, architecture, delivery, day-2 operations — we stay until it's real and running.
Ongoing technical leadership and a thinking partner for teams that need senior judgment without a full-time hire. Month-to-month, no lock-in.
Experience
Logistics, insurance, financial services. Turning unstructured documents into accurate, automated workflows. 30%+ accuracy gains and 45% cost reduction in production.
From healthcare efficiency to customer support and post-call analytics. End-to-end agent design, deployment, and operationalization.
Helping organizations identify where AI creates real value, sequence initiatives, and build a roadmap that actually gets executed.
Legacy code and infrastructure transformation on AWS — from assessment through delivery, including GenAI-assisted migration tooling.
Real-time fraud detection systems for payments and fintech. Built and deployed in production.
Connecting fragmented data sources into a coherent, queryable foundation — the prerequisite most AI projects skip and then regret.
Reference architecture and spec-driven approach for teams building AI products. How you build matters as much as what you build.
Who's behind this
I've spent 13+ years in ML and AI — starting in 2012 building predictive analytics products for retailers as part of a startup that was later acquired. I grew from engineer to leading the data and ML team, building and operating production systems at scale.
I spent years at AWS as a Solutions Architect, working alongside enterprise customers navigating their own AI and cloud journeys. I've seen what works, what fails, and what the market sells that rarely delivers.
I'm currently operating an AI product in the hospitality space — live, deployed, and used in the market. I advise from the same position you're in, not from the sidelines.
I started JibeTack because the gap between strategy and production is where most AI initiatives die — and I've spent 13 years on both sides of it.
LinkedIn →Let's talk
Whether you have a clear vision or just a problem worth solving — we'll have an honest conversation about what makes sense, and whether we're the right fit.
Start a conversation