About

Chaitra Hegde is a highly skilled AI/ML professional with a strong background in research and software engineering. She is currently working as a Senior Software Engineer at Google, where she is involved in cutting-edge research and development of AI/ML technologies. Chaitra holds an MS in Data Science from NYU Center for Data Science, which has provided her with a solid foundation in data analysis, machine learning, and statistical modeling. Chaitra has a diverse range of experience in the field of AI/ML, having worked on several projects in different domains. She has published several research papers, including "Unsupervised Paraphrase Generation," "DARTS, Tool for Automatic Brain Segmentation," "Knee Cartilages Segmentation using Diffusion weighted MRI," and "Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification." These publications showcase her expertise in natural language processing, computer vision, and deep learning. Prior to joining Google, Chaitra worked as a Senior Machine Learning Engineer at Fidelity, where she was responsible for building an emotion prediction system on audio and transcript data, and a ML system to predict/analyze and understand various aspects of social media mentions of Fidelity. She also worked as a Data Science Intern at Bombora, where she built a Named Entity Recognition model using BERT and a 5842 class classification model using BERT, achieving significant accuracy gains compared to the models in use. Chaitra's technical skills include software engineering, ML, AI, research, data science, BERT, and test. Her relevant experience in the field of AI/ML is 3.78 years, which makes her a valuable asset to any organization looking to develop cutting-edge AI/ML technologies. Chaitra is a highly motivated and dedicated professional who is passionate about using AI/ML to solve complex problems and drive innovation in various industries.