E367 Sid Roy, Machine Learning Engineering Manager at Devron

Today's guest is Sid Roy, Machine Learning Engineering Manager at Devron in New York. Founded in 2020, Devron is rethinking the way data science platforms read and share insights across datasets. Sensitive data is often siloed off in private networks, on-premise and in entrenched environments, limiting data scientists in deriving actionable insights for business decisions. Multiple parties often duplicate or lose track of data being shared within and across organizations, often increasing data engineering and cloud costs.

Devron is enabling data scientists to build on top of decentralized data stores. They reduce the clutter and steps required for data engineers and scientists to conduct data science and they obviate the need to centralize and duplicate data. Devron is on the path to build the next-generation data science and machine learning platform to enable decentralized analytics. They foresee a globally distributed data fabric that preserves the privacy of the source data, freeing it to drive innovation and insights and unleashing its untapped value.

In the episode, Sid will discuss:

The mission of Devron’s Federated ML platform,

Examples of the customers using Devron’s platform,

Building the ML function from the ground up,

Transitioning from academia into the startup world,

Plans for growth and why to consider a career with Devron, &

What excites him for the future at Devron