Anushree Bannadabhavi
About Anushree Bannadabhavi
Anushree Bannadabhavi is an NLP Data Scientist currently working at Arteria AI in Toronto, Canada. She has over five years of software engineering experience, specializing in artificial intelligence and deep learning, with a strong focus on transformer-based models and natural language processing.
Work at Arteria AI
Anushree Bannadabhavi is currently employed as an NLP Data Scientist at Arteria AI, a position she has held since 2023. In this role, she focuses on natural language processing, contributing to projects that leverage her expertise in artificial intelligence and deep learning.
Education and Expertise
Anushree completed her Master of Engineering in Computer Engineering at The University of British Columbia from 2021 to 2023. She also holds a Bachelor's Degree in Electronics and Communications Engineering from Sri Jayachamarajendra College of Engineering, which she obtained from 2011 to 2015. Her academic background is complemented by her specialization in artificial intelligence, deep learning, and transformer-based models.
Background
Anushree has over five years of software engineering experience, having worked with notable companies such as Bosch Global Software Technologies and Toshiba Software (India) Pvt. Ltd. She began her career as an Intern at the Indian Institute of Science in 2013, followed by roles as an Associate Software Engineer at Bosch and a Software Engineer at Toshiba.
Research Contributions
Anushree conducted research in collaboration with Dr. Xiaoxiao Li, focusing on developing an interpretable transformer-based model for fMRI analysis aimed at disease prediction. Her research was recognized at both the MICCAI 2023 and OHBM 2023 conferences, where it outperformed state-of-the-art models in the field.
Previous Roles and Responsibilities
Prior to her current role, Anushree served as a Deep Learning Researcher at the Trusted and Efficient AI Lab at UBC from 2022 to 2023. She also held positions as a Graduate Teaching Assistant and a Graduate Academic Assistant in the Electrical and Computer Engineering department at UBC, where she contributed to dependable systems research.