Your AI initiative will failif the platform isn't ready.
I'm a platform engineer who spent years building mission-critical infrastructure at Wells Fargo and General Motors. Now I help financial services and mid-market companies put AI into production without breaking what already works.
// Why Chad
Three problems most consultants can't solve at once.
The problem
Generic consultants give you frameworks. You need someone who has operated platforms in regulated environments under real incident pressure.
What I bring
15+ years of mission-critical delivery inside Wells Fargo Advisors and General Motors — not advisory roles, but hands-on engineering.
The problem
Platform engineers don't understand AI. They build reliable infrastructure but don't know how RAG pipelines, vector search, and LLM latency actually behave in production.
What I bring
M.S. in AI/ML (3.97 GPA, Distinguished Honors, 2025) applied directly to production AI systems at General Motors — not lab work.
The problem
AI consultants don't understand platforms. They'll build a model that works in a notebook but can't survive real traffic, audits, or an incident at 2 AM.
What I bring
The same SRE discipline that kept advisor-facing platforms running at Wells Fargo — SLOs, error budgets, FMEA — applied to AI-native systems.
The gap isn't in the AI. It's in the discipline that keeps it running.
// At a glance
- 15+
- Years in production
- 3.97
- GPA · Distinguished Honors
- #2
- iCone employee — now powers Waze
- C2C
- Direct · W-2 · All structures
// What I deliver
Three ways to engage.
// Ready when you are
Diagnostic-first. No guesswork.
Most engagements start with a short diagnostic call — the lowest-risk, highest-clarity thing you can do before committing budget.