Ragini G.

I help businesses build and improve machine learning solutions that are practical, reliable, and production-ready. During my internship as an AI Engineer, I supported and improved an existing AI pipeline, implemented a new integrated pipeline, and ran experiments to analyze and improve model behavior. This gave me hands-on experience working with real-world systems, not just academic projects. I work with Python and tools such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras to handle the full ML workflow: data preprocessing, feature engineering, model training, and evaluation. I focus on clean code, structured experimentation, and clear communication so clients feel confident throughout the project.