At Megagon Labs, we see bringing on interns as more than just hiring a short-term helping hand. As we welcome spring and summer interns, we’d like to share with you how we foster an environment of growth and career development for both mentors and interns.

Dan Zhang, Research Manager and Senior Research Engineer at Megagon Labs, gives us a recount of her journey from childhood to and through her career as a research engineer.

To help NLP researchers and practitioners understand and improve their data, we introduce Weedle, an exploratory text analysis tool for data-centric NLP. Here are Weedle’s biggest strengths…

Data practitioners have widely adopted computational notebooks such as Jupyter Notebooks due to the relative ease of conducting as well as communicating data science workflows

We will introduce feature stores and examine the implications of deep learning on feature stores as well as discuss the role of feature stores as part of the emerging MLOps stack.

We introduce Sudowoodo, an end-to-end framework for a variety of data integration applications to resolve the limitations of data integration. Sudowoodo addresses the label requirement by leveraging contrastive learning to learn a data representation model from a large collection of unlabeled data items. This is realized by the contrastive objective that allows the model to learn how to distinguish pairs of similar data items from dissimilar ones that are likely to be distinct.