Summary
Sandeep Attree is a Senior Machine Learning Engineer with 10 years of experience specializing in meta-learning and transfer learning for low-resource language tasks, currently researching multimodal representation and understanding at Google in New York. He won first place solo in the Gendered Pronoun Resolution challenge (Google AI Language) and published ACL work on boosting model confidence via evidence pooling, demonstrating a knack for pragmatic, evaluation-driven research. His background spans industry and research roles at Morgan Stanley, Adobe, and the National Renewable Energy Laboratory, pairing production-focused ML engineering with academic rigor from IIT Kanpur and an MS from the University of Minnesota. Comfortable at the intersection of research and product, he focuses on reducing reliance on expensive domain annotation through clever transfer strategies—an approach that has repeatedly yielded competitive, publishable results.
10 years of coding experience
Indian Institute of Technology Kanpur
University of Minnesota Twin Cities