Consulting·production AI
If hallucinations, slow inference, wrong tool calls, or unclear architecture decisions are blocking progress, this is the time to fix the root causes and get stable AI features your users can trust.

How your issue gets fixed
Scope·fit
The end for AI issues that are hurting trust, delivery, or growth.
Strong fit
Not a fit
Engagement·options
Three shapes. One outcome: stable AI in the hands of users.
Audit · one-shot
PDF audit report of your current AI system architecture plus a 1-hour strategy call to prioritize fixes.
Fractional · ongoing
Your team has junior engineers but no senior AI architect. Embedded in Slack, 1 standup/week, code reviews, and the hardest 10% of tickets.
MVP · four weeks
A working, deployed production AI system in 4 weeks — from architecture to monitoring.
Track record·why me
Engineers trained · MLExpert Academy
Years shipping ML systems in production
In-depth technical tutorials published
Focus on production, not prototypes
FAQ·kickoff
Apply·48h response
Tell me about your project. I'll reply within 48 hours.