Shreya Shankar

Shreya Shankar

@sh_reya

PhD student in databases focusing on MLOps @Berkeley_EECS @UCBEPIC. Prev. 1st ML engineer @viaduct_ai, research @googlebrain, BS & MS @Stanford CS. She/they.

t.co Joined Dec 2022
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Shreya Shankar

What many people do not know is how broken the startup ML / DS hiring pipeline is. It's really easy to laugh at this egregious mistake. For some additional context, here are some t...

Shreya Shankar

the @taylorswift13 x artificial intelligence collab i have waited my entire programming career for: "you tell me about your past thinking your future was me" https://t.co/2MjQSCnw...

Shreya Shankar

mltrace v0.16 is out! In this release, we make big steps towards our vision of data & machine learning pipeline debugger. We introduce the `review` feature, which allows people to...

Shreya Shankar

Thread on relevant reflections from Richard Gabriel on AI companies < 1996, with my thoughts: 1/ Today's AI faculty at top schools have 1+ startup. They follow the same patterns:...

Shreya Shankar

Recently I realized that the biggest benefit of going to Stanford is not the high quality of education or the network of successful people. It is the entitlement we develop, which...

Shreya Shankar

This is quite interesting. I am a huge champion of "iterate on the data, not the model." However after further thought, I think there is actually greater opportunity to create aca...

Shreya Shankar

Some tidbits with interesting implications for AI/ML software from the EU's proposed AI Act (https://t.co/KftTk8ahJD):

Shreya Shankar

Computing hardware is getting really freaking powerful! I think edge inference and ML will become more popular very quickly. It's pretty exciting to think about what this means f...

Shreya Shankar

I'm tired of hearing people blame data scientists for broken production ML pipelines because they don't have "good software engineering practices." We can have a more productive co...

Shreya Shankar

I used to believe a browser was just a UI for the internet, but after working in ML I have come to realize it is much more -- it is also a centralized place for web developers to d...

Shreya Shankar

Stop gatekeeping in research by imposing undergrad GPA constraints (that seem to last through the PhD). You have to be mentally & financially secure to be able to focus mainly on s...

Shreya Shankar

Update: I'm now working on ML tooling! When I did applied ML, it seemed like many tools I initially found interesting were divorced from the reality of data, ML, and systems. I do...