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I will do mlops, devops, docker and fastapi python api deployment
Abdullah Khalil
About this gig
MLOPS | DEVOPS | FASTAPI PYTHON API | DOCKER
I build production FastAPI python APIs with Docker, and set up the MLOps and DevOps pipeline around them so your model goes from notebook to live endpoint.
SERVICES
FastAPI python API development from scratch
Docker containerisation and multi-stage builds
MLOps model serving, versioning, monitoring
DevOps CI/CD pipelines with GitHub Actions
Kubernetes deployment and scaling
Cloud deployment Render, Railway, AWS
EXPERTISE
FastAPI, Python, Pydantic, Uvicorn, REST API design
Docker, Docker Compose, Kubernetes, GitHub Actions
MLOps MLflow, model registry, monitoring
DevOps CI/CD, automated testing, registries
PyTorch, scikit-learn, HuggingFace, PostgreSQL
YOU RECEIVE
Working FastAPI python API with clean endpoints
Dockerfile and docker-compose, production-ready
Pytest suite and Swagger documentation
DevOps CI/CD pipeline configured
Full source code and setup docs
I've built multi-tenant ML platforms on this exact stack: FastAPI, Docker, Kubernetes, full test coverage. Production systems, not tutorial projects.
Send me your model or repo and I'll tell you what's realistic before you order.
Get to know Abdullah Khalil
Abdullah Khalil
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- FromPakistan
- Member sinceJul 2024
- Avg. response time1 hour
Languages
Urdu, English, French
Hi! I’m Abdullah, a results-driven Automation Engineer, No-Code Specialist, AI Content Strategist, and Web/App Creator dedicated to helping businesses work smarter, grow faster, and scale effortlessly.
With years of hands-on experience across no-code automation, AI-powered content creation, data analytics, and modern web development, I combine technical expertise with a strong understanding of business needs—delivering solutions that are fast, reliable, and performance-driven.
✔ Web-dev
✔ No-Code Automations
✔ AI Content Marketing That Actually Performs
✔ AI-Powered Data Analysis & Insight
Other AI Development Services I Offer
FAQ
I only have a Jupyter notebook can you work with that?
Yes, that's the most common order. Send the notebook and I'll extract the model and build a proper FastAPI python API around it.
What's the difference between MLOps and regular DevOps here?
DevOps covers the pipeline — Docker, CI/CD, deployment. MLOps adds the model-specific layer: versioning, serving, drift monitoring, retraining hooks. Platinum covers both.
Do I need my own server?
No. Free tiers on Render or Railway handle most projects. I'll deploy to your account so you own the infrastructure.
