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Let's put your AI in production

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.

  • Reliable answers, not hallucinations
  • Faster inference without runaway cost
  • Correct extractions, reliable tool calls
  • Tracing that makes failures obvious
mlexpert/prototype.to.prodActive
Diagram: your AI failing in production with hallucinations and wrong tool calls enters the engagement — diagnose by tracing every failure, implement the root-cause fix, verify that evals pass — and ships as AI your users trust: grounded, fast, monitored

Every engagement includes

  • $01Reply to your application within 48h
  • $02Work happens in your repo, with your team
  • $03You own the code, evals, and docs

Scope·fit

Pain points that get fixed

Fixes for the AI issues hurting trust, delivery, or growth.

Strong fit

  • Hallucinations and retrieval misses that hurt user trust
  • Incorrect extraction pipelines that corrupt downstream outputs
  • Wrong tool calls and agent routing failures in production
  • Slow inference and unstable latency that block adoption

Not a fit

  • Generic software development
  • Data dashboards or BI projects
  • Pure research or paper writing
  • Staff augmentation for non-AI work

Engagement·options

Pick the route that gets your production pain fixed

Three shapes. One outcome: stable AI in the hands of users.

engagements/audit.yamlScope

Audit · one-shot

Architecture Audit

$2,500+· 1–2 weeks

PDF audit report of your current AI system architecture plus a 1-hour strategy call to prioritize fixes.

  • System architecture review
  • Bottleneck identification
  • Prioritized action plan
  • 1-hour strategy call
1–2 weeks · Audit · one-shot
engagements/fractional.yamlBest value

Fractional · ongoing

Fractional AI Engineer

$8,000/mo· Monthly

Your team has junior engineers but no senior AI architect. Embedded in Slack, 1 standup/week, code reviews, and the hardest 10% of tickets.

  • Slack embed
  • Weekly standup
  • Code reviews
  • 5–10 hrs / week
Monthly · Fractional · ongoing
engagements/mvp-sprint.yamlSprint

MVP · four weeks

MVP Sprint

$15,000+· 4 weeks

A working, deployed production AI system in 4 weeks, from architecture to monitoring.

  • Production-ready system
  • CI/CD pipeline
  • Monitoring & observability
  • Handoff documentation
  • Weekly calls
4 weeks · MVP · four weeks

Track record·why me

Numbers behind the work

900+

Engineers trained · MLExpert Academy

10+

Years shipping ML systems in production

300+

In-depth technical tutorials published

100M+

Users served by systems I shipped

FAQ·kickoff

Common questions

Apply·48h response

Let's get started

Tell me about your project. I'll reply within 48 hours.

Minimum engagement starts at $2,500.