Summary
Himani Yadav is a software engineer at Google with eight years of hands-on experience building machine learning-driven personalization and foundational embedding models for shopping ads. A summa cum laude graduate from the University of Georgia with degrees in Computer Science, Cognitive Science, and Philosophy, she blends rigorous technical training with interdisciplinary thinking. Her work spans production ML at Google, computer vision and VQ-VAE research for Parkinson’s disease subtyping, and real-time big-data pipelines for agricultural phenotyping. Comfortable across full-stack and data-intensive systems, she has shipped product-facing features during multiple Google internships and led research that earned university grants and symposium presentations. Based in the San Francisco Bay Area, she brings a rare combination of academic research depth and pragmatic product delivery.
8 years of coding experience
3 years of employment as a software developer
Maymester Study Abroad, Maymester Study Abroad at University of Oxford
University of Georgia
Lambert High School
English, Hindi, French