intentional ml
$ deploy --to production

Machine learning, on purpose.

Senior ML engineering for software teams. Generative AI where it fits, classic machine learning where it works better, and both built to run in production.

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founded by Jackson Mandeville · shipping ML to production since 2017
choose_model.py
# the right tool for each problem
"answer questions from product docs"→ LLM + retrieval
"detect weapons from EM signals"→ embedded classifier
"predict what a student knows next"→ knowledge tracing
"your problem"→
EXPERIENCE AT
Lefebvre SDUSnappetXtract OneInsights.ggMITRE
// why intentional

Three things you can count on

01

The right model, not the trendiest one

Some problems need a large language model. Many are solved faster, cheaper and more reliably with a classic model. I've shipped both, so you get the one that fits.

02

Built for production from day one

Deployment, monitoring and running costs are part of the plan, not a surprise at the end.

03

One senior engineer, start to finish

No account managers and no hand-offs. The person who scopes your project is the person who builds it.

// services

Ways to work together

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AI Feasibility Sprint

Find out whether your AI idea will work, and what it will cost, before you commit.

Production Review

Get a clear fix list for a model or GenAI feature that is slow, fragile or expensive.

Fractional ML Lead

Senior ML judgment every week, without a full-time hire.

// how it works

From first call to live in production

  1. step 1

    A 30-minute call

    You explain the problem; I tell you honestly whether ML is the right answer.

  2. step 2

    A fixed-price proposal

    Scope, timeline and price in writing, before any work starts.

  3. step 3

    Weekly progress until it's live

    Short updates, working software, and a handover your team can run with.

// time zones

Meetings in your morning

Based in the Netherlands, working with teams across the US and Canada. The work moves forward while you sleep.

15:00–19:00 The Hague
9:00–13:00 New York
6:00–10:00 Vancouver

Have a model that needs to ship, or an idea you're not sure about?

Book a 30-minute call