I will deploy ai models and build mlops pipelines

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Loic N

About this gig

Getting a machine learning model to work on your local computer is one thing. Getting it to run reliably on a live server without crashing, slowing down, or burning through your cloud budget is a completely different challenge.


If your frontend team needs a fast API, or your current setup breaks whenever the data format changes, I can fix that. Since 2018, I have been moving models out of Jupyter Notebooks and into stable, automated production environments.


LIVE PORTFOLIO: https://dpl-dashboadrd.vercel.app/ (This is a live global maritime tracking platform I built using async pipelines and strict data validation layers).


WHAT I WILL DO FOR YOU:

  1. Build fast web APIs for your models (scikit-learn, XGBoost) using FastAPI.
  2. Wrap everything in Docker containers so it runs flawlessly on any server.
  3. Set up Pydantic data validation to block bad inputs before they crash your model.
  4. Optimize data flows using HTTPX to keep response times near zero.
  5. Deploy directly to AWS, GCP, or Vercel with automated CI/CD workflows.


My tools: Python, FastAPI, Docker, Pydantic, HTTPX, AWS, GCP, Vercel.


PLEASE MESSAGE ME BEFORE ORDERING so we can look at your codebase and pick the right setup.

Get to know Loic N

Loic N

AI and MLOps Engineer: Scaling Models for Business

5.0(1)
  • FromBurundi
  • Member sinceApr 2024
  • Last delivery1 year
  • Languages

    English, French
I am an AI/ML Engineer and MLOps Specialist dedicated to transforming complex data models into stable, profitable business assets. Since 2018, I have helped automate, deploy, and scale machine learning systems. What I deliver to your business: ✔️ Production Deployment: Turning raw Python, scikit-learn, or XGBoost models into live APIs. ✔️ Automation (MLOps): Smooth training and update cycles using Docker & Kubernetes. ✔️ Efficiency: Reduced cloud costs, faster processing speeds, and zero downtime. Let's launch your AI safely!

My Portfolio