Google - Local Shopping ML Pipeline

Overview

As a Software Engineering Intern at Google, I developed machine learning pipelines to enhance the Local Shopping team's ability to recommend relevant products to users based on proximity.

Technical Details

• Built a baseline mechanism using heuristics to understand system limitations
• Developed complete ML pipelines for data importing, transformation, analysis, training, and evaluation
• Experimented with various models from Linear Regression to Wide and Deep
• Implemented feature transformation techniques using embeddings and feature crosses
• Used Python, TensorFlow, TFX, SQL, and C++ to create a robust end-to-end system