We have partnered up with Bugout.dev to host an amazing talk for you all. Join us tomorrow at 5pm PDT on Zoom!

Meeting Link: https://us02web.zoom.us/j/85104001904

Storing, accessing, and version-controlling unstructured data is a real challenge. At scale, it becomes almost impossible.

In his work on the connectome as a neuroscientist at Princeton, Davit Buniatyan has worked with unstructured datasets at petabyte scale. In this meetup, he will present the components you need to overcome the biggest pains of managing and working with such a dataset.

He will also present Hub, an open source project intended to be the SQL for images. Davit will also walk you through the best practices of building scalable data pipelines and managing datasets for deep learning tasks.

Davit is the founding CEO at Activeloop (https://www.activeloop.ai/), a Y Combinator company.
Davit sees the future of data and a radically better way for people to use it. He wants to accelerate and democratize AI by activating the machine learning loop (i.e. enabling machine learning models to get better while deployed).

Davit was born and raised in Yerevan, Armenia. He majored in Computer Science at UCL. David was first featured by TechCrunch at the age of 18, thanks to his work on a personalized news recommendation service. At 20, he started his Ph.D. at Princeton University, landing the Gordon Wu Fellowship, the most prestigious award for graduate students in Engineering. His research involved reconstructing the connectome of the mouse brain under the supervision of Sebastian Seung.

Trying to solve hurdles he faced analyzing large datasets in the neuroscience lab, David became the founding CEO of Activeloop, a Y-Combinator alum startup. Activeloop is on a mission to unify and abstract away infrastructure for streamlined and radically more efficient machine and deep learning.

If you want to connect with Davit and fellow-data scientists and developers, join our dev community on Slack https://join.slack.com/t/bugout-dev/shared_invite/zt-fhepyt87-5XcJLy0iu702SO_hMFKNhQ