I will build a production mlops pipeline with docker, mlflow, and cloud deploym

H
hamza7523
H
hamza7523
Muhammad Hamza
build a production mlops pipeline with docker, mlflow, and cloud deploym
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build a production mlops pipeline with docker, mlflow, and cloud deploym
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build a production mlops pipeline with docker, mlflow, and cloud deploymbuild a production mlops pipeline with docker, mlflow, and cloud deploymbuild a production mlops pipeline with docker, mlflow, and cloud deploymbuild a production mlops pipeline with docker, mlflow, and cloud deploym

About this gig

Are you stuck with an ML model that only works on your laptop? I'll turn it into a fully monitored, cloud-deployed production system fast.


I'm a CS student at IBA Karachi specializing in MLOps and Data Engineering. I've built and deployed real production pipelines using Docker, MLflow, Grafana, and GitHub Actions including a plant disease detection system on Azure handling 4GB+ workloads and a Hackfest-winning pipeline on AWS + Snowflake.


What I'll build for you:

FastAPI inference service containerized with Docker

MLflow for experiment tracking and model versioning

Prometheus + Grafana monitoring dashboards

CI/CD pipeline via GitHub Actions

Evidently AI for data drift detection (Premium)

Cloud deployment on AWS EC2 or Azure (Premium)


Why work with me?

I don't just hand you code I deliver a working system with documentation. Every package includes clean, readable code and a walkthrough so you understand what was built.


Drop me a message before ordering I'll make sure we're a great fit. Prices and packages are negotiable.

  • AI engine

    • TensorFlow
    • Langchain
    • PyTorch

  • Programming language

    • Java
    • Python
    • PyTorch
    • Tensorflow
    • Keras

Get to know Muhammad Hamza

Muhammad Hamza

AI and MLOps , NLP tasks with end to end cloud deployment

  • FromPakistan
  • Member sinceJan 2021
  • Avg. response time1 hour

  • Languages

    Urdu, English, German
Hi, I'm Hamza — an MLOps and Data Engineering specialist who builds AI systems that actually run in production. From Docker-containerized ML pipelines to RAG-powered chatbots and cloud ETL workflows on AWS and Azure, I turn models and raw data into reliable, monitored systems your business can depend on. What I can build for you: - MLOps pipelines (Docker, MLflow, CI/CD, drift monitoring) - ETL pipelines (Airflow, BigQuery, Snowflake, PySpark) - RAG chatbots and LLM-powered tools - Custom ML/CV models deployed to the cloud

My Portfolio

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