I will containerize and deploy your ml model with docker and fastapi

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ayesha_shahid17
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ayesha_shahid17
AYESHA SHAHID

About this gig

You've trained a machine learning model, but a notebook or .pkl file isn't something anyone else can use. I turn your trained model into a real, working API or app.


WHAT I DELIVER

  • Your model wrapped in a FastAPI endpoint.
  • Fully Dockerized, runs anywhere, no works on my machine issues.
  • Clean input/output docs so you know exactly how to call it.
  • Optional: a simple Streamlit UI, or a live public URL on Render/Hugging Face Spaces


WHY WORK WITH ME

I build and deploy production ML systems myself; 4 live apps currently running on Hugging Face Spaces (handle: Ayeshaaaa17), covering XGBoost, Random Forest, and deep learning models (BiLSTM, CNN) in medical and research contexts. I'm also a first-author published researcher (Springer Nature, 2026), so I know how to handle a model correctly, not just wrap it and hope.


WHO THIS IS FOR

  • You finished a model in Colab/Jupyter and don't know how to deploy it.
  • You need a quick API for a hackathon, MVP, or client demo.
  • You want your model turned into something a non-technical person can actually use.


Send me your model file (or a Colab/GitHub link), and I'll tell you exactly what package fits, usually within a couple of hours.

Get to know AYESHA SHAHID

AYESHA SHAHID

First author ML researcher, RAG systems and academic editing

  • FromPakistan
  • Member sinceMay 2026
  • Avg. response time1 hour
  • Languages

    Urdu, English
Published ML researcher (first author, Springer Nature, 2026) with a model validated at 96% accuracy and 100% sensitivity. I build production ML/AI systems, RAG applications, prediction APIs, and deployed models, and I edit and strengthen technical research papers for people who've already drafted their own work. Check my gigs below for either service.

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