About

Sheetal Shalini is a Software Engineer III at Google, currently working in the Medical Brain team of Google AI Health. She is responsible for extracting and analyzing information from medical records, using her expertise in Machine Learning and Natural Language Processing. She completed her Masters in Intelligent Information Systems from the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University. Sheetal has a keen interest in Machine Learning and Natural Language Processing and aspires to integrate these fields. She has leveraged her graduate training and coursework to excel in her career. She has 3.62 years of relevant experience and has worked with some of the top companies in the industry, including Apple and Google. At Google, Sheetal has worked as a Software Engineer II in Machine Learning at Google Research, Health Insights. She has also worked as a Machine Learning Intern at Apple, where she was part of the Search, Knowledge and Platform team at Siri. She worked on improving the efficiency of Siri through predictive scaling of Siri servers using deep learning. Sheetal has a strong educational background, with a Masters in Computer Science from Carnegie Mellon University and a Bachelor of Technology in Computer Engineering from the National Institute of Technology Karnataka. She also completed her Pre-University Education in Karnataka from Narayana PU College, Bangalore and her ICSE from Bishop Cotton Girls School, Bangalore. Sheetal's TechStack includes Software Engineering, Machine Learning, Artificial Intelligence, Natural Language Processing, Infra, Research Scientist, Deep Learning, and Search. She is a highly skilled Software Engineer, with a passion for Machine Learning and Natural Language Processing. She is a valuable asset to any team and is always willing to take on new challenges.