I will deploy your machine learning model as a rest API with fastapi

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M. Umar Sohail

About this gig

Are you struggling to make your machine learning model accessible for real-world use? I will help you deploy your ML model as a REST API so it can be easily integrated into applications, websites, or mobile apps.


With my expertise in MLOps and cloud deployment, I will:

  • Convert your trained model (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.) into a production-ready API
  • Use FastAPI or Flask for lightweight, fast, and scalable APIs
  • Containerize with Docker (optional) for easy deployment anywhere
  • Deploy on local server, cloud (AWS, GCP, Azure), or your preferred platform
  • Provide full documentation on how to use your API


You'll receive:

  • A working API endpoint for your ML model
  • Instructions on sending requests and getting predictions
  • Clean, production-ready code


Get to know M. Umar Sohail

M. Umar Sohail

MLOps Engineer for ML Deployment, LLM, Multi Agent and Cloud Solutions

5.0(7)
  • FromPakistan
  • Member sinceAug 2021
  • Avg. response time1 hour
  • Last delivery1 year
  • Languages

    Urdu, English
👋 Hi, I'm Umar — an MLOps Engineer who turns ML models into production-ready systems. I help businesses deploy & scale ML using Docker, Kubernetes, FastAPI, and cloud platforms (AWS/GCP/Azure). ✅ ML models (TensorFlow, PyTorch, LLaMA) → production APIs ✅ Docker/Kubernetes deployment & cloud MLOps pipelines ✅ LLM integration: chatbots, RAG, AI agents & multi-agent systems ✅ Custom AI skills, plugins & tool integrations ✅ End-to-end AI deployment & automation ✔️ 5.0-star rated | 1-hour response time ✔️ Clear communication, fast & reliable delivery Got a model that needs deploying? Let's talk

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