
Principal Scientist @AWS. Formal methods, systematic testing, fuzzing applied to distributed systems. Creator of P : https://teapaw.org/t.co/Xnbk9a6xUw
San Jose, CA
Joined September 2015
- Tweets644
- Following802
- Followers1.6K
- Likes2.3K
Ankush Desai retweeted
Want to get better at (or started with) formal methods? Surround yourself with experts @hillelogram @DominikTornow @k0nn0v @muratdemirbas @lemmster @ilyasergey @ankushpd @Leonard41111588 @MarcJBrooker @vanlightly @immadnaseer
You're welcome.
Ankush Desai retweeted
Happy to announce that our paper “Specy: Learning Specifications for Distributed Systems from Event Traces” has been accepted at OOPSLA’26. This is a joint effort with Ankush (@ankushpd) and the P team! It’s not possible without all the great collaborators!
Ankush Desai retweeted
My group, UT-SysML (ut-sysml.ece.utexas.edu/), will be hiring new students this fall! Do apply, mention my name in your applications, and finally, don't forget to send me an email after you submit your application! 📢📢📢📢 @UT_SysML
Ankush Desai retweeted
Loved reading this excellent post by @MarcJBrooker and @ankushpd: Systems Correctness Practices at Amazon Web Services on how they use formal methods internally at AWS. One of the best articles I've read this year on formal verification and testing.
I liked how this article lists various methods and how they're used to solve particular cases. Also includes references to some great papers.
Ankush Desai retweeted
Replying to @ankushpd
@ankushpd's amazing talk on system correctness at #BugBash 2025 was super dense and super detailed -- so here it is with a handy pause button!
antithesis.com/blog/2025/bug…
Ankush Desai retweeted
Interested in how we test our systems at Amazon?
In @CACMmag, @ankushpd and I write about the evolution of systems correctness and testing practices at AWS. We cover a mix of classic approaches, formal approaches, and new techniques like deterministic simulation.
"Systems Correctness Practices at Amazon Web Services," by @MarcJBrooker and @ankushpd, surveys the portfolio of formal methods used across @AWS to deliver complex #services with high #confidence in assuring systems correctness. bit.ly/43gT88q
Ankush Desai retweeted
"Systems Correctness Practices at Amazon Web Services," by @MarcJBrooker and @ankushpd, surveys the portfolio of formal methods used across @AWS to deliver complex #services with high #confidence in assuring systems correctness. bit.ly/43gT88q
Ankush Desai retweeted
New-ish @galois blog: “What Works (and Doesn't) Selling Formal Methods”. The boring truth: engineers are rational and adoption is all about cost/benefit tradeoffs
Ankush Desai retweeted
Founders who were PhD or post-doc in my lab at Berkeley, **largely funded by NSF / DoD grants**, start-up, market cap (collected by OpenAI Deep Research)
Ankush Desai retweeted
P-lang is indeed a developer friendly specification language ❤️
teapaw.org/ankushpd/status/189537…
Proud Moment 📣: DeekSeek uses P to validate correctness of their distributed file system (3FS).
DeepSeek open sourced 3FS designed to address the challenges of AI training and inference workloads. The coolest part is that the team also provided formal specifications of the system in P.
P specifications of 3FS: github.com/deepseek-ai/3FS/t…
Super excited to see teams building complex distributed systems adopting formal methods! and P is play an important role in it!
Ankush Desai retweeted
Very cool to see more folks using P, especially in such a high-profile system. If you're building distributed systems, it's worth taking a look at p-org.github.io/P/whatisP/
If you are looking for formal models of a real-world distributed system, DeepSeek @deepseek_ai released P specifications for their new distributed file system (3FS): github.com/deepseek-ai/3FS/t…
Ankush Desai retweeted
One aspect of the work we describe in Systems Correctness Practices At AWS is the work @ankushpd and team have been doing on closing the loop between formal specification and implementation of distributed systems.
Ankush Desai retweeted
In this month's ACM Queue, @ankushpd and I write about some of the methods and tools we apply to systems correctness at AWS: from testing, to simulation, to fault injection, to formal proofs.
Ankush Desai retweeted
TrueFoundry has been recognized as an Emerging Leader in the Emerging Market Quadrant for GenAI Engineering.
What an exciting way to wrap up the year—this is just the beginning! Thank you for your continued support and trust in us. 🙏
Ankush Desai retweeted
What does it take to build reliable software?
Come found out at what promises to be the vibiest tech conference in 2025.
Speaker lineup is insane. Here is just a preview of day 1:
1) From @awscloud: @ankushpd, Principal Applied Scientist
2) From @AnthropicAI: Zac Hatfield-Dodds, Technical Staff
3) From @OpenAI: Ben Eggers, Technical Staff
4) From @HashiCorp: @mitchellh, Founder and creator of Ghostty
5) From Jepsen: Kyle Kingsbury, Principal
6) From @confluentinc: @ryanworl, Director of Engineering & Co-Founder of WarpStream
7) From @AntithesisHQ: Will Wilson, Co-founder and CEO
For suspense, I won't announce day 2 speakers until after the holidays.
Only 200 spots available. DM me with questions.
Today we announce a brand new conference for software reliability.
200 seats. 10 featured speakers. 6 lightning talks. 5 panelists. 2 days. 1 masterclass. All during DC's cherry blossoms.
We call it BugBash.
bugbash.antithesis.com/
Ankush Desai retweeted
My second re:Invent talk is up! In this talk, I dive into the internals of thew new Aurora DSQL, looking at how we achieve each of the ACID properties, and highlight some of the decisions we made as we designed the product.
Ankush Desai retweeted
AWS just announced Aurora DSQL - a purpose built, postgres-compatible serverless database and take it from me - it's amazing.
I've had a few months to play with it (more soon), but it's truly the single most exciting launch I've seen from AWS in a while.
You've gotta try it – at Paradise, NV
Ankush Desai retweeted
🚀PhD applicants: Want to revolutionize OS design? Join @UT to build LDOS—the next-gen learned OS—and work on cutting-edge research in systems, ML & formal methods with top UT faculty & industry partners!🔥Learn why OSes need bold new advances at ldos.utexas.edu





























