Bhabesh Chanduka

Bhabesh Chanduka has worked as a Machine Learning Engineer at Diffbot since 2021. Prior to that, in 2020, they were a Research Intern at the University of Massachusetts Amherst, where they developed a framework using PyTorch for learning box embeddings for Existential Positive First Order logical queries. Bhabesh implemented the permutation invariant DeepSets architecture and analyzed projection and intersection operators to improve results.

In 2018, Bhabesh worked as a Software Engineering Intern at Intuit, where they used Unsupervised Learning to extract key-value pairs from American Financial Forms and worked on document classification using Natural Language Processing.

In 2017, Bhabesh was a Machine Learning Intern at Marax AI, Inc., where they focused on improving the performance of the Orahi carpooling application. Bhabesh'sresponsibilities included data cleaning, feature selection, outlier removal, and model selection.

Bhabesh Chanduka obtained a Bachelor's degree in Information Technology from the National Institute of Technology Karnataka between the years 2015 and 2019. Following this, they pursued a Master's degree in Computer Science at the University of Massachusetts Amherst from 2019 to 2021.