Applied on website #### Round 1: AI interview - Asked about me - Asked to design URL shortener, I explained - Asked how you will handle deletions in it #### Round 2: Take home assignment #### Round 3: Took this round for all of the people at once, told to optimize the code for throughput In last asked how was the interview process, All people praised, I yelled at them that it's not nice #### Round 4: Given an object structure that data is present in S3 we need to ingest it into a database and optimize the search calculation: - 12kB per candidate - 1024 embeddings - 4kb (total - 4bytes * 1024) - 500 million candidates Some questions: 1. which is costly storing in ram or querying ? ram is cheap then how can we effectively get it ? 2. how can we get distributed search from Turbopuffer ? 3. how do we shard the database ? Sharding won't help in searching 4. Retrieving from S3 is not that simple, network crash, worker crash all kinds of stuff happens ? 5. how can i get data from the continents like Asia if i had only shard via country ? Verdict: Haven't responded, Take it as Rejected