Contributed to Cato, a “TikTok for Education app” startup that aimed to extract snippets from educational videos on Youtube and show them on a feed. The idea was to use “addiction to content feeds” for productive purposes.

• Architected data pipelins to gather user events and features for recommendation engine.
• Architected and developed backend on AWS. Used Node, MongoDB, Python, Redis, etc.
• Researched into building our recommendation and architected an initial version.

Here is the initial architecture I designed:

Here are some links to things I designed and worked on with Apoorv, Swarnim, Anshul, Ravindra and Pavan.

• Data Schema and Documentation

• API Documentation

Was recruited by Rahul Garg, one of the smartest, most hard working and most helpful people I know.