End-to-end advanced MLOps pipeline for Telecom Churn Detection using ZenML, MLflow, and GitHub Actions – with automated data ingestion, preprocessing, training, model evaluation, drift detection, retraining, CI/CD, Dockerized deployment on AWS EC2, and DynamoDB integration.

An AI analytics assistant that turns natural language into optimized MongoDB aggregations and clean, tabular insights. Built with CrewAI multi-agent orchestration, LangChain tools, Pinecone embeddings for item normalization, and a polished Streamlit UX. Designed as a production-bound prototype for Order Appetit.

Testing ZenML

An End to End Machine learning Project that aim to predict the weather based on some data required

End-to-end ML pipeline for predicting used car prices.

Basic MLOps project using Evidently tests, ZenML pipelines and MLflow workflow for model versioning

A ZenML-based RAG system for document Q&A with multi-format support. My exploration project to understand how RAG systems work under the hood.

Deploying a machine learning model by using zenml and ml flow