Summary
Jui Shah is a Senior Machine Learning Engineer with eight years of experience building scalable, production-grade ML and fairness systems for large-scale recommendation and advertising platforms. Currently focused on optimizing TV-to-Web performance ads at Samsung Ads, she previously reduced bias computation time by orders of magnitude at LinkedIn and built a company-wide bias detection framework adopted across 15+ teams. Her background blends rigorous research—published work on knowledge-graph extraction and interpretable AI probing of transformers—with hands-on engineering that converts Python prototypes into Scala systems handling billions of daily inferences. Comfortable across the research-to-production lifecycle, she has applied temporal alignment, SHAP-driven explainability, and distributed computing to improve accuracy, fairness, and latency in real-world pipelines. Based in the San Francisco Bay Area, she pairs strong mathematical/statistical instincts with practical software craftsmanship, often surfacing subtle model failures before they reach users.
8 years of coding experience
4 years of employment as a software developer
School Education, School Education at Udgam School for Children - India
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Massachusetts Amherst
Bachelor of Technology Information and Communication Technology, Bachelor of Technology Information and Communication Technology at Dhirubhai Ambani University