Muhammed John

I’m an MSc Data Science & AI Engineering candidate with hands-on expertise in machine learning, statistical modeling, and predictive analytics. I focus on translating complex business problems into data-driven solutions I can measure and improve.

In internships, I’ve built end-to-end ML solutions and production-ready services. I developed an AI microservice using FastAPI + Ollama for resume parsing and candidate-job compatibility scoring, and I implemented role-aware recommendation systems deployed on a live Next.js platform.

I’m also experienced with experiment tracking, evaluation, and explainability. I’ve used MLflow for model lifecycle workflows and applied explainability approaches like Grad-CAM to make model decisions more transparent and actionable.

My projects reflect my drive to deliver practical outcomes—from disease classification and healthcare-style workflows to churn prediction and MLflow server deployment on AWS. I enjoy working across the full stack of ML: data pipelines, modeling, deployment, and monitoring.