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AC
Alex Chen
alex@dev.local

Kia ora, Alex

Three employers are looking at your profile this week.

Your applications

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your fit
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Profile strength
A complete profile matches to more roles.
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Live assessment waiting
Finish “Debug an inference pipeline” to strengthen your match for ML roles.

Upload your CV

We extract your skills and experience so you don’t retype them. You can correct anything before it’s used.

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Drag your CV here, or click to browse
PDF or Word · up to 10 MB
Reading alex-chen-cv.pdf…
Extracting skills, experience and AI tooling.
{{ iconCheckSm }}Extracted from alex-chen-cv.pdf. Everything below is AI-extracted — review and correct anything that’s off.
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Senior AI / ML Engineer
Experience {{ aiTag }}
~6 years
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Your public summary

This is exactly what employers see when you match — nothing more.

{{ iconShield }}Anonymised by design. Your name, photo, age, address and where you studied are never shown to employers — only role-relevant signals.
C-4821
Senior AI / ML Engineer
~6 years · Available in 2 weeks · NZ work rights
Top skills
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Selected work
Built a production RAG eval harness that cut hallucinations 40%. Owned the inference platform serving 12M requests a day.
Assessment
86 / 100Build a retrieval function · verified live

My profile

Everything that powers your matches. You stay in control of it.

Headline
Senior AI / ML Engineer
Experience
~6 years
Location (matching only)
Auckland, NZ
Work rights
NZ citizen
Availability
2 weeks notice
Open to
Full-time · Hybrid
About
I build production LLM systems end to end — retrieval, eval and the platform underneath. I care about systems that keep learning safely.

Drag to set how confident you are. Extracted skills came from your CV — adjust freely.

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Rate your proficiency with the tools you use. This sharpens matching for AI-first teams.

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There are no right answers — this helps match you to teams that work the way you do.

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Roles for you

Ranked by your fit — and we show you exactly how that fit is built.

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Your fit is decomposed — no single black-box score.

Assessments

Short, live coding tasks. They’re graded on a rubric you can see afterward.

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Debug an inference pipeline

Python · 30 minutes · graded live
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The timer starts when you begin and won’t pause. Give yourself a clear 30 minutes.
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Your code and approach are graded on a rubric you’ll see in full afterward.
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No automated pass/fail — a human reviews borderline results.
LIVE ASSESSMENT
Debug an inference pipeline
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The task
The function below should batch-embed documents, but it crashes on empty inputs and silently drops failures. Fix both, and make it retry transient errors.
Acceptance
Handles empty and oversized batches
Surfaces failures instead of dropping them
Retries transient errors with backoff
embed.py
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Assessment graded
86 / 100
Strong result — visible to employers as a verified score.
How it was graded
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Settings

Your account and how your data is used.

Account
Name (never shown to employers)
Alex Chen
Email
alex@dev.local
Password
Last changed 4 months ago.
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