Summary
Sachin Chhabra is a Machine Learning Scientist at Wayfair with eight years of industry experience and a Ph.D. in Computer Science from Arizona State University, where he focused on computer vision and label-efficient neural network training. He specializes in domain adaptation, semi-supervised, and self-supervised learning and holds multiple first-author publications and patents that reflect a strong research-to-production trajectory. At Wayfair he has built image-based recommendation engines, implemented graph neural networks for item-to-item recommendations, and designed multi-task neural architectures for cross-market sales forecasting. His background spans applied ML internships and production ETL and SQL engineering, giving him a rare mix of deep algorithmic expertise and pragmatic data engineering skills. Based in California, he brings academic rigor to scalable ML systems that directly improve product discovery and forecasting for large e-commerce deployments.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at Arizona State University
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at VIT University
English, Hindi