Rustem Feyzkhanov

Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–@SnorkelAI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of @SnorkelAI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! snorkel.ai/demo/ Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from @Accenture @BNY @Comcast @Stanford @QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!

Looking to efficiently scale machine learning solutions from research to production? Join us to hear Rustem Feyzkhanov, Machine Learning Engineer at @instrumentalinc, present his talk at the Embedded Vision Summit, May 20-22: embeddedvisionsummit.com/2025/session/s…

Hey folks. Happy to share my blog post on how to use AWS Lambda SnapStart for LLM inference lnkd.in/ghu3-Pdz Quick summary: exciting, but limited to frameworks which are both small (250MB zip limit) and can load the models from memory, not hard disk (512MB limit).

Dive deep into #generativeAI at #AWSreInvent. ☁️ ⚙️ 🤖 AWS #MachineLearning Hero @ryfeus shares an Attendee Guide that highlights the re:Invent sessions that will help you navigate the rapidly evolving landscape of generative models. Learn more. 👉 go.aws/47x7guB

Day 1 of the @awscloud Hero Summit (super NDA so no screenshots 😅) A LOT of brainpower in this room 🤯😳

Bus 🚌 trip!!!

Let's scale, community! #AWSHero @Ryfeus has a new article on how to create a Scalable Cloud inference endpoint. go.aws/43IlYwg

Excited to announce that @AlonBenShoshan has joined Instrumental as our Chief Business Officer as we look to enable the world's most admired electronics brands to build better products. Check out the news here! tinyurl.com/mv8dupk8

🎁 HAPPY HOLIDAYS!!! 🎁 New Lamby v4 site using @Docusaurus is now live. What do y’all think?

Yesterday was another great night🤩🤟It was great fun to see so many friends again and meet new ones. We all had a lot of fun talking about our countries and keynotes🥳#reInvent2022 @colors4ideas @franciscoed @vfcarida @Ryfeus @antonbabenko

If you are attending @AWSreInvent I hope you find time to stop by the Modern Applications and Open Source Zone. Starting at 9 am tomorrow in the Ventian (Third Floor, East Alcove). Find us in the session catalog (ACT083) or at: reinvent.awsevents.com/campus/public-… (cont'd)

Attending AWS #reInvent? Don't miss the #AWSCommunity session track, led by AWS Heroes! ⭐️ Favorite in the re:Invent session guide now, & grab a seat when reserved seating launches October 11, 10AM PDT: portal.awsevents.com/events/reinven…

For those looking to squeeze a few more milliseconds out of Python Lambdas, here's a tip that can help! miketheman.net/2022/10/04/red…

Let's gather as many people as possible and have interesting face-to-face discussions in #Paris on the 11th of October! Join us if you are curious about #DevOps, #Infrastructure as Code, #Terraform, #Pulumi, #CDKs, and everything in between! meetup.com/hashicorp-user…

Best part of #reInvent is connecting with customers, partners, and teammates!

How should you run new (production) containers on AWS? I wanted to write a longer blog post about this, but 🤷. So, here's a flowchart! Because I know people will "But actually", there's a second version of the flowchart with some notes.

"Analyzing Tail Latency in Serverless Clouds with STeLLAR" by @DmitriiUstiugov and team is a good read. It's great to see progress on ways to compare serverless performance, and to categorize the behavior of different serverless implementations. ease-lab.github.io/ease_website/p…

Learn about Machine Learning Infrastructure sessions at AWS Summit. AWS Summit is free and sessions can be watched on-demand. ryfeus.medium.com/ml-infrastruct… @awscloud #awscommunity #machinelearning

Blogpost about using custom docker image with SageMaker + AWS Step Functions. Everything is deployed using the serverless framework. dev.to/aws-heroes/usi… #aws #serverless #sagemaker #deeplearning

@emrahsamdan @ServerlessdaysV @adrianco @lynnaloo @richbuggy @willvelida @allPowerde Thank you very much for organizing the event!

Today, I'm tired because I was wide awake last night for our @ServerlessdaysV event happening in APAC timezone. But with all the great talks, it totally worths being tired. Thanks a lot, @adrianco, @lynnaloo, @Ryfeus, @richbuggy, @willvelida, and @allPowerde for great talks!