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Fiverr Pro
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$
USD
I will optimize your ml ai training and evaluation pipeline
Facundo C
About this gig
Is your ML model underperforming, training too slowly, or producing results you cannot trust?
I will review your existing Python machine learning pipeline, identify weaknesses, and implement targeted improvements depending on your package.
Areas I can help with:
- Data leakage and train/validation/test splits
- Preprocessing and evaluation metrics
- Training bugs and performance bottlenecks
- Reproducible experiments and model comparisons
Basic: a pipeline audit with prioritized findings.
Standard: an audit plus one agreed fix.
Premium: an audit plus up to three agreed improvements, benchmarks, and run instructions.
Each package covers one existing pipeline, one dataset, and one model. Implementation scope and experiment limits are agreed before ordering. GPU, cloud, and API costs are not included and should be provided.
You will receive clear findings and, where included, validated code changes. Accuracy gains and speedups depend on your starting point and cannot be guaranteed.
Please message me with your framework, current issue, dataset size, and available hardware before ordering.
Get to know Facundo C
Facundo C
Machine Learning Engineer and Researcher
- FromArgentina
- Member sinceAug 2023
Languages
English, Spanish, Portuguese, Italian
I am an AI engineering student and researcher with a perfect GPA. I specialize in self-supervised video research, machine learning evaluation, and building robust computer vision systems. I have extensive experience leading technical teams and shipping complex platforms.
FAQ
Do I need an existing machine learning pipeline?
Yes. This gig focuses on auditing and improving an existing Python training or evaluation pipeline. If you’re starting with an idea and don’t have a pipeline yet, check out my AI & ML consulting gig. Not sure which gig fits? Send me a message and I’ll help you choose.
Should I contact you before ordering?
Yes. Send me your framework, current issue, and expected outcome. We’ll agree on the scope, required access, and experiment limits before you order.
What do you need to get started?
Your code or notebook, dependencies, run instructions, and a shareable dataset or representative sample. Include relevant errors, current metrics, and available hardware. Remove passwords, API keys, and other secrets before sharing.
What is the difference between the packages?
Basic: audit and prioritized report. Standard: audit plus one agreed fix with validated code. Premium: up to three agreed improvements, before-and-after comparisons, and run instructions. Each covers one existing pipeline, one dataset, and one model.
Can you guarantee higher accuracy or faster training?
Specific accuracy gains or speedups cannot be guaranteed. I validate agreed changes and report measured results. Fixing data leakage or evaluation errors may lower your reported score while making it actually useful.
Are GPU, cloud, or API costs included?
No. Paid compute and API usage are funded by you and agreed in advance. Experiments have a defined run budget. Unlimited tuning and large-scale training are not included.
What does a revision include?
Each package includes one revision for adjustments within the original scope. A different dataset, additional model, new objective, or extra improvement requires a separate quote.
