Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Sourav Dey

Sourav Dey
CTO, Manifold


Sourav Dey is CTO at Manifold, an artificial intelligence engineering services firm with offices in Boston and Silicon Valley. Sourav leads the engineering team focusing on work across client projects, developing platform technologies to make Manifold ML engineers more efficient, and communicating to business stakeholders. Prior to Manifold, Sourav led teams building data products across the technology stack, from smart thermostats and security cams at Google-Nest to wireless communication at Qualcomm. Sourav’s career has always been at the intersection of math and computer science — a PhD from MIT in signal processing and bachelors degrees in Math and CS from MIT.


1:30pm5:00pm Tuesday, March 26, 2019
Sourav Dey (Manifold), Alex Ng (Manifold)
Average rating: ****.
(4.25, 4 ratings)
Many teams are still run as if data science is mainly about experimentation, but those days are over. Now it must offer turnkey solutions to take models into production. Sourav Day and Alex Ng explain how to streamline an ML project and help your engineers work as an integrated part of your production teams, using a Lean AI process and the Orbyter package for Docker-first data science. Read more.
11:00am11:40am Thursday, March 28, 2019
Sourav Dey (Manifold)
Average rating: ****.
(4.75, 4 ratings)
Clustered data is all around us. The best way to attack it? Mixed effect models. Sourav Dey explains how the mixed effects random forests (MERF) model and Python package marries the world of classical mixed effect modeling with modern machine learning algorithms and shows how it can be extended to be used with other advanced modeling techniques like gradient boosting machines and deep learning. Read more.