I will deploy ai models and build mlops pipelines
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:
- Build fast web APIs for your models (scikit-learn, XGBoost) using FastAPI.
- Wrap everything in Docker containers so it runs flawlessly on any server.
- Set up Pydantic data validation to block bad inputs before they crash your model.
- Optimize data flows using HTTPX to keep response times near zero.
- 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
AI and MLOps Engineer: Scaling Models for Business
- FromBurundi
- Member sinceApr 2024
- Last delivery1 year
Languages
English, French
My Portfolio
FAQ
What do I need to hand over to get started?
Just your trained model file (or the training scripts) and a quick sample of the input/output data. If you already have a cloud account (like AWS or GCP) where you want it deployed, that works too. If not, I can help you pick the best hosting option for your budget.
I don't have a technical background. Will I be able to manage this?
Yes, easily. I build these systems so you don't have to babysit them. By using Docker, your entire model setup is packed into a single container that boots up with one command. If you choose the Premium package, updating your model becomes fully automated—you just push your new model file, and the s
Can you work directly inside my company's cloud account?
Yes. We can set up secure, restricted access to your AWS or GCP environment. I strictly follow security best practices, meaning I will never ask for your master passwords or root credentials.
What if the model needs updates later?
You don't need a tech team. I prefer long-term partnerships. Whether you need monthly model retraining, new features, or performance tuning, I’m available for ongoing collaboration and continuous engineering support as your business grows.
Who handles scaling as my traffic grows?
I don’t just deploy and disappear. I offer long-term technical collaboration for ongoing projects. As your user base expands, I can stay on board to manage infrastructure, optimize cloud costs, and ensure your system maintains zero downtime.

