MLOps & Production Pipelines

A production-ready MLOps pipeline for telecom customer churn prediction. Covers the full lifecycle — model training, experiment tracking, automated CI/CD, real-time data drift detection with Evidently AI, and FastAPI serving — built to the standards of a production engineering team.

FastAPI · EvidentlyAI · MLflow · Docker · GitHub Actions

A production-style RAG system that ingests PDF documents, indexes them using hybrid BM25 lexical and FAISS vector search, and serves precise, source-grounded answers via a FastAPI endpoint — built with enterprise document intelligence architecture patterns.

FastAPI · FAISS · BM25/Whoosh · LLMs · PyPDF · Python

A TFX-based ML pipeline orchestrated with Apache Airflow — automating data ingestion, schema validation, feature transformation, model training, and evaluation through modular DAG-based tasks. Runs in Dockerized environments for clean portability across teams.

TFX · Apache Airflow · TFDV · TFT · TFMA

A TFX pipeline deployed on Kubeflow Pipelines running on a local Minikube Kubernetes cluster. Components are containerized with Docker and deployed using YAML-based configuration — simulating production-ready cloud-native ML workflows with elastic scaling.

TFX · Kubeflow · Minikube · Docker · TFDV