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$
USD
I will build production apis and cloud infrastructure for ai apps
Data Scientist, RAG and LLM Engineer
Data Scientist and AI Engineer, based in Paris, with two master's degrees in AI (University of Luxembourg and DataScienceTech Institute) and Neo4j certification.
I cover the full pipeline: web scrapi...
About this Gig
A model on your laptop is not a product. The gap between a working notebook and something your users can hit reliably is where most AI projects stall.
I close that gap: your model behind a real API, containerised, deployed, monitored, and documented.
WHAT YOU GET
A clean REST API around your model or AI workflow, with proper request validation
Docker containers so it runs the same everywhere
Deployment to AWS or your cloud of choice
Authentication, rate limiting and error handling built in, not bolted on later
Logging and monitoring so you find out about failures before your users do
API documentation your developers can actually work from
STACK
Python, FastAPI, Docker, AWS, PostgreSQL, vector databases, GitHub Actions for CI/CD.
WHY ME
Two master's degrees in AI (University of Luxembourg; DataScienceTech Institute Paris). I have deployed AI systems in healthcare and private banking, where uptime and data handling are not negotiable.
BEFORE YOU ORDER
Message me with what you have built so far and what you expect it to handle. Scoping this properly upfront costs nothing and saves a lot.
Technology:
Amazon Redshift
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Python
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R
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SQL
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Snowflake
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Databricks
My Portfolio
FAQ
I already have a model. Can you just deploy it?
Yes, that is the most common order. Send me the model file or repository and how it is meant to be called, and I will wrap it in an API, containerise it, and deploy it. If the model itself needs work first, I will tell you before you order rather than after.
Which cloud do you work with?
AWS by default, and I also work with GCP, Azure, and simpler hosts like Render, Railway or Fly.io. For a small service the simpler hosts are often cheaper and faster to run; I will recommend based on your scale and budget rather than defaulting to the biggest option.
Who pays for the hosting?
You do, on your own cloud account, so you keep full control of costs and access. I will estimate the monthly figure before you order. For most small to mid-size AI services it is modest, and I will flag anything in your design likely to make it expensive.
Will it handle traffic spikes?
That depends on what you need, so tell me your expected volume upfront. I build with horizontal scaling in mind and configure autoscaling where the platform supports it. Premium includes load testing so you know the actual ceiling instead of hoping.
Can my developers maintain it afterwards?
That is the point. Everything ships with API documentation, a README covering local setup and deployment, and infrastructure defined as code where possible. Premium includes a handover call with whoever will own it. I build to hand over, not to be needed.
