Reproducibility
Does the public artifact run under its stated environment, and are missing inputs or version assumptions visible?
PYTHON · MACHINE LEARNING · FIXED SCOPE
A useful second pair of eyes for $9.
Send one public Python script or notebook and one precise question. Within 24 hours, receive a concise evidence memo with three findings and one concrete next fix. Written and asynchronous—no call required.
Submit first. Pay only after the scope is accepted in writing.
WHAT GETS CHECKED
Small enough to finish. Specific enough to help.
Claim-to-output fit
Do the shown metrics, plots, or logs actually support the stated conclusion? Ambiguity is called out explicitly.
Next fix
One bounded change that improves correctness, clarity, or evaluation quality—not a generic rewrite.
BOUNDARIES
Public, non-sensitive, and non-security work only.
Good fit
Python data workflows, model evaluation, computer vision, robotics, ML experiments, plots, metrics, or a small reproducibility question.
Not included
Private repositories, credentials, production access, vulnerability or security review, malware, academic cheating, or claims that require unavailable data.
Need more?
If the artifact exceeds 200 relevant lines or needs a new environment, you receive a separate written quote before any work starts.
PAYMENT AFTER SCOPE ACCEPTANCE
9 native USDC on Arbitrum One.
Payment details
Network: Arbitrum One
Asset: native USDC
Amount: 9 USDC
Recipient:0x92308b3573d17e065e05128ce4f8f00b1e363bf5
Native USDC contract:0xaf88d065e77c8cC2239327C5EDb3A432268e5831
Do not send USDC.e or use another network. Blockchain transfers are irreversible.
Send the artifact and your exact question.
Include the public URL, relevant line range, expected behavior, observed behavior, and environment if known. You will receive written scope acceptance before payment.