Vikram Singh

@stripe

[Vikram Singh @vikrams039]

@gasca glad you liked it!

[michelle 👻 @hazelcough]

My first project as a new grad at @stripe was a service to turn chargeback evidence submitted through our API into PDFs and fax them to our banking partners. I'd never seen a fax in my life.

It was nobody's dream project, and I was sure I'd get fired, so I went deep. I learned how much complexity we could hide behind a simple API, even when our banking partners still relied on paper faxes. Two years later, I got to build the first version of Stripe Radar to stop fraudulent chargebacks in the first place.

You often don't get to choose where you start, but going deep, becoming the expert, and earning the trust to take bigger swings is still a great way to build a career. AI has changed how we work, but I don't think it's changed that playbook.

@vikrams039 wrote the guide I wish I'd had as a new grad: https://t.co/Iol9v4dRBI

[Vikram Singh @vikrams039]

@hazelcough @stripe featuring a small glimpse into Stripe’s collection of bufo emojis 🐸

[Vikram Singh @vikrams039]

@apatwa7 great read!

[Vikram Singh @vikrams039]

@conorroberts_ @kevinyien Check out https://t.co/BtKd5rWwDd!

[Vikram Singh @vikrams039]

@rohangupta_ massive 🔥

[Vikram Singh @vikrams039]

@apatwa7 🫡

[Aalok Patwa @apatwa7]

Excited to share that our paper was accepted to the ICML Next-Game Workshop! 🎉

Can self-play RL work without massive compute?

We show that it can: we train agents to achieve competitive performance in a multiplayer card game in ~8 hours on CPU.

Paper: https://t.co/jODaci7BU7