The future belongs to engineers who can bridge the gap between traditional back-end development and data engineering.

This data-intensive approach has the limitation of an enormous ... justify how those limitations do not prevent them from ...

Guiding a large language model via specific prompts is critical for producing desired outputs and ensuring healthcare systems ...

According to Databricks, Fennel has developed a modern, incremental compute engine that supports the development of more ...

In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...

His impact extends into machine learning, where he has optimized workflows by streamlining data ingestion, feature engineering, and model deployment processes. His contributions have enabled the ...