For engineers building careers in AI/ML

The market is oversaturated with demos. It is starving for engineers.

MLE Path is how working engineers break into ML and AI engineering roles, clear the modern interview loop, and grow once they are in. Built and taught by one practitioner — fifteen years in production ML, not a course factory.

See the offeringsWhich one is for me?
15 years
building AI/ML systems in production
1,000+
engineers helped since 2020
ex-Meta
Staff Engineer, Ads
ex-Shopify
Applied AI manager & hiring manager

Since 2020, my frameworks and coaching have helped engineers land ML and AI roles at:

(not an exclusive list)
MetaGoogleAppleUberSnapStripeNotionBlockAnthropic

Which one is for me?

Three offerings, three situations. Find your row.

»You are already an MLE or AI engineer and interviews are coming up4-Week Interview Accelerator»Your loop is within about two weeks1-on-1 ML System Design Mock»You have no production ML experience yet6-Month Transition to MLE Program
For current MLEs & AI engineers
4-Week Interview Accelerator

Four weekly 1-on-1 sessions, tailored to your target companies. The modern loop is fractured — prep like it.

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For candidates days from a loop
1-on-1 ML System Design Mock

45 minutes, a realistic scenario, immediate blunt feedback — and guidance on the rest of your loop.

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For engineers crossing into ML
6-Month Transition to MLE Program

Proof of work, not certificates: a real project, deep fundamentals, and an open-source capstone shipped to real users.

Details »
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What is actually changing in ML hiring, and what to do about it — written for one engineer: you. No hype, no rockets. Unsubscribe any time.