Get live statistics and analysis of shreya rajpal's profile on X / Twitter

ML, systems, and everything in between. Building @guardrails_ai. Previously founding eng @predibase, @Apple SPG, @driveai_, @IllinoisCS, @iitdelhi.

945 following7k followers

The Thought Leader

Shreya Rajpal is a powerhouse in ML and systems, pioneering open-source tools like Guardrails AI that elevate AI reliability. With a rich engineering background spanning Apple, Predibase, and top universities, Shreya leads with data-driven insights and practical experimentation wisdom. She seamlessly blends deep technical expertise with visionary leadership in AI innovation.

Impressions
3.2k-3.2k
$0.61
Likes
34-34
87%
Retweets
0
0%
Replies
4-4
10%
Bookmarks
1-1
3%

Shreya’s timeline probably looks like a research paper bibliography got caught in a Twitter chat—so many sources, so little focus. Maybe try unfollowing a few accounts so the real fans can find you through the noise, not the follow count!

Successfully launched and gained significant traction for Guardrails AI, an open-source project setting new standards for reliability in LLM outputs, alongside securing seed funding to scale this visionary initiative.

To push the boundaries of AI system reliability and experimentation rigor, empowering engineers and researchers to build trustworthy, high-quality machine learning applications through open-source innovation.

Shreya believes that success in AI comes from rigorous evaluation, systematic experimentation, and staying firmly rooted in research advancements. She values transparency, reproducibility, and the collaborative power of open source to drive meaningful progress in AI technology.

An exceptional ability to translate complex ML system challenges into actionable frameworks, plus a knack for building powerful developer tools that attract both community engagement and industry attention.

With close to a thousand accounts followed and a deep focus on technical content, there’s a risk of information overload and diluted engagement, potentially making it harder to build a tightly knit, highly interactive audience.

To grow her audience on X, Shreya should leverage her visionary insights by threading her deep-dive content into engaging narratives and practical tutorials. Pairing technical posts with occasional personal or cultural observations can humanize her brand and spark wider conversations.

Fun fact: Despite coming across as a high-powered tech guru, Shreya isn't afraid to poke fun at Silicon Valley culture—like wondering why everyone in SF seems to have the exact same dog! This adds a relatable human touch to her highly technical profile.

Top tweets of shreya rajpal

Introducing ❄️ @snowglobe_so, the simulation engine for AI chatbots. Magically simulate the behavior of your users to test and improve your chatbots. Find failures before your users do.

543k

This course is really special to me for multiple reasons First, this is a full circle moment for me. I starred my career at @AndrewYNg’s company in self driving cars. As many of you know, a the inspiration for AI guardrails as infra was inspired by my years in self driving 1/4

21k

No more naked LLM access! After months of hard work, our team is thrilled to bring you our #1 most requested feature — Guardrails Server. As more engineers put @guardrails_ai around their LLM in production, we’re making Guardrails deployment easier than ever. Why this matters: ✅ Easy cloud deployment: Seamlessly dockerize the Guards you’re running locally ✅ OpenAI SDK compatibility: Protect your OpenAI or LLM Proxy service with a single line change. ✅ Cross language support: Use the OpenAI-compatible endpoint in any language which supports the OpenAI SDK. (1/n)

46k

My @aiDotEngineer tall is out! I talk about LLMs require a fundamentally new software paradigm (stochastic vs. deterministic) and how to think abt building reliable applications 👀 bonus points if you can spot the blooper in the talk youtu.be/9-vGxMoUM9Y?si…

20k

i gave the first ever public demo on @snowglobe_so this week at the @DoorDash AIML meetup, and the demo gods were kind enough to let me finish a live demo 😌

8k

👀 Spotted in the wild! Example of how LLMs deployed for commercial purposes can often violate basic expectations on their outputs. The @guardrails_ai competitor-check validator was created for this, basically guarding against mentioning any competitors. Link below

20k

I've had an interesting year to say the least -- almost exactly a year ago I started moonlighting on @guardrails_ai in my spare time. To celebrate my ~1 year anniversary, I'm giving the keynote at the AI in production conference, with some 4000+ registrations already(!) Why you should attend -- I'll talk about what my experience has been like in the field making the cutting edge of generative AI work in production settings, as well as future perspectives. Come attend -- link below. PS -- also making a teeny tiny announcement during the keynote!

12k

📣Announcing Guardrails Index!!🎉 We’ve come a long way since we first launched @guardrails_ai in 2023, with guardrails now a pretty standard part of AI platforms everywhere BUT how performant are guardrails really?! I’m CONSTANTLY surprised by the lack of benchmarks for this

48k

We benchmarked the @OpenAI's DevDay Eval product and @bespokelabsai's Minicheck for hallucination detection. Minicheck is the current best hallucination detector on @guardrails_ai Hub. OpenAI: - Accuracy: 69.19% - F1: 0.7564 - High recall, lower precision Minicheck: - Accuracy: 74.96% - F1: 0.7516 - Better at detecting hallucinations Overall, OpenAI classifies more hallucinations as factual, but has high recall around detecting factual statements. However the current most precise model is Minicheck (Guardrails Hub Link https://t.co/jX3RDdMbrL)

5k

New @guardrails_ai validator release!💥 If you're building a customer-facing chatbot, a basic requirement is to not mention any competitors to your company. E.g. don't talk about Burger King if you’re McDonalds. We just added a validator to test this explicitly. Docs below

5k

Most engaged tweets of shreya rajpal

Introducing ❄️ @snowglobe_so, the simulation engine for AI chatbots. Magically simulate the behavior of your users to test and improve your chatbots. Find failures before your users do.

543k

This course is really special to me for multiple reasons First, this is a full circle moment for me. I starred my career at @AndrewYNg’s company in self driving cars. As many of you know, a the inspiration for AI guardrails as infra was inspired by my years in self driving 1/4

21k

📣Announcing Guardrails Index!!🎉 We’ve come a long way since we first launched @guardrails_ai in 2023, with guardrails now a pretty standard part of AI platforms everywhere BUT how performant are guardrails really?! I’m CONSTANTLY surprised by the lack of benchmarks for this

48k

I've had an interesting year to say the least -- almost exactly a year ago I started moonlighting on @guardrails_ai in my spare time. To celebrate my ~1 year anniversary, I'm giving the keynote at the AI in production conference, with some 4000+ registrations already(!) Why you should attend -- I'll talk about what my experience has been like in the field making the cutting edge of generative AI work in production settings, as well as future perspectives. Come attend -- link below. PS -- also making a teeny tiny announcement during the keynote!

12k

No more naked LLM access! After months of hard work, our team is thrilled to bring you our #1 most requested feature — Guardrails Server. As more engineers put @guardrails_ai around their LLM in production, we’re making Guardrails deployment easier than ever. Why this matters: ✅ Easy cloud deployment: Seamlessly dockerize the Guards you’re running locally ✅ OpenAI SDK compatibility: Protect your OpenAI or LLM Proxy service with a single line change. ✅ Cross language support: Use the OpenAI-compatible endpoint in any language which supports the OpenAI SDK. (1/n)

46k

i gave the first ever public demo on @snowglobe_so this week at the @DoorDash AIML meetup, and the demo gods were kind enough to let me finish a live demo 😌

8k

it's been amazing to see the overwhelming support and excitement for @snowglobe_so on launch day 🫶 as a result though, some of you may have experienced slow running simulations and conversation generation. we're working hard to process these queues faster, (doubled our capacity since this morning) and chasing down bottlenecks, so sim should get back to being super fast pretty soon!

3k

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