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

Of course prompt engineering is a job. ML systems and software have always been an amalgamation of models and rules. Now, with GPT et al., it is really hard to figure out what rule...

Shreya Shankar

I want to talk about my data validation for ML journey, and where I’m at now. I have been thinking about this for 6 ish years. It starts with me as an intern at FB. The task was to...

Shreya Shankar

I’ve been talking a lot at the @UCBEPIC events about the need for a framework that allows people to build hybrid rule-based and AI-based systems. Current solutions force people to...

Shreya Shankar

Only in this past year did I realize how much free labor I was giving away. I’m still upset about it, and I’m also upset that people disproportionately take advantage of my women &...

Shreya Shankar

Ok I have thoughts on whether there should be separate CS courses for those who want to just use the tool vs go in deep. 5 years ago I thought absolutely, why learn about semaphore...

Shreya Shankar

I realize I didn't do a good job discussing this. Here's an example of the KS false positive problem in the ML pipeline setting: suppose I have 1 feature, age, computed from differ...

Shreya Shankar

I think it's great that big model cos are both (1) trying to think about MLOps and (2) providing me with more outlets to speculate about the future ☺️ https://t.co/Qjbb0KRicn

Shreya Shankar

Our understanding of MLOps is limited to a fragmented landscape of thought pieces, startup landing pages, & press releases. So we did interview study of ML engineers to understand...

Shreya Shankar

Yes, this. It is not really about public vs private schools. I resisted commenting for a day but now I have to. I don't even know how to compare Stanford & Berkeley CS https://t.co...

Shreya Shankar

Unit testing for ML is a big category of questions but here are my thoughts on the data validation piece (ensuring model inputs/outputs have good "quality" such that ML performance...

Shreya Shankar

Sunday morning thoughtdump of some reasons why I believe "doing ML in the DBMS" doesn't make sense for traditional OLTP DB architectures (sorry, I'm studying for my prelim and this...

Shreya Shankar

I'm excited (and nervous) to post this thread: I've always known I wanted a partner but didn't know what a supportive one looked like (esp. as an ambitious woman who wants kids som...