Mohammed Tawfiq

I’m an AI engineer focused on building systems that can read, see, and reason. I enjoy taking ideas from scratch to deployment—whether it’s NLP, RAG, or computer vision. I learn fast, work quietly, and let results speak. My goal is to build practical, explainable AI tools that make real workflows smarter and more efficient.

At Aravind Eye Care, I developed a cataract classification pipeline using PyTorch, OpenCV, and Grad-CAM. The system achieved 95%+ accuracy and powered a real-time diagnostic interface built with Flask. Working with clinicians taught me practical deployment, explainability, and how AI integrates into real medical workflows.

M.Sc. Data Science, TCE Madurai