This article explores how the Data Science team at RIVIGO created a serverless store to retrieve features needed by different machine learning models.   Introduction   Tejas – A serverless feature store enables Rivigo data science team to store and retrieve features needed by machine learning models. Every machine learning lifecycle starts with creating a

Ten leadership principles that are akin to the DNA of people at RIVIGO. The note talks about how these principles embody our spirit and guide our actions.