Simba Khadder @simba_khadder
CEO @FeatureformML, The 'Virtual' Feature Store. featureform.com San Francisco, CA Joined March 2017-
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Unpacking 3 Types of Feature Stores // @simba_khadder // MLOps Podcast #265: home.mlops.community/home/videos/un…
I've had like 100 companies selling AI SDRs reaching out to me, presumably using their own product. They are the most awkward pseudo-personalized cold email/LI requests. The reach-out doubles as a demo, and it's real bad. IMO, LLMs excel at augmentation, not automation.
Getting model features into production is hard, but it doesn't have to be! 🌟
Excited to announce @FeatureformML 's $5.5m seed round, bringing our total to over $8 million! 🚀 Our virtual feature store fundamentally changes how ML teams define, manage, and deploy model features. siliconangle.com/2023/12/13/fea…
Excited for our webinar TOMORROW. Now that Feast is unmaintained, many people I talk to are pondering their next steps. Whether you're actively using Feast, considering Featureform, or curious about the evolving landscape of open-source feature stores, this webinar is for you.
Excited for our webinar TOMORROW. Now that Feast is unmaintained, many people I talk to are pondering their next steps. Whether you're actively using Feast, considering Featureform, or curious about the evolving landscape of open-source feature stores, this webinar is for you.
🚨 Happening tomorrow, Nov 14th at 8 AM PT! Join us for "Building a #FeatureStore with Featureform & @databricks hosted by @simba_khadder 🎉 Learn how to define & run feature pipelines with Featureform's Python API on Databricks! Q&A to follow. 🎟buff.ly/3swgSWm
Had a ton of fun chatting with @CShorten30 on the @weaviate_io podcast! You can listen in to learn more about feature stores and their place in LLM-powered systems.
Had a ton of fun chatting with @CShorten30 on the @weaviate_io podcast! You can listen in to learn more about feature stores and their place in LLM-powered systems.
.@CMUDB ML⇄DB Seminar Series Video #5 — @simba_khadder (CEO) @FeatureformML: Feature Store Architectures & Technical Challenges youtube.com/watch?v=ZsWa6X…
💢😧: "I don't understand, what do you mean the features in our data warehouse aren't available for model serving & inference in prod?" #datascience #mlops #dataengineering #mlengineer #ml #dataops #featurestores
🚀 New Blog Alert! "Feature Versioning: A Key Ingredient To Keeping Your Data Science Projects From Going Off The Rails!" 🚂💥 We're diving deep into the world of feature versioning in #MachineLearning. Check it out here: bit.ly/3Kc3yMr Time for a 🧵! 1/7
🤩 We'll also tackle how to manage features & embeddings for practical LLM use cases! 🔖 A must-attend for the following folks: - #DataScientists - #mlengineers - Anyone interested in enhancing their LLM workflows! 🔗 Be sure to RSVP Here: bit.ly/3K6oYur
I have a few invites left for our Executive Cocktail Party at Databricks #DataAISummit tomorrow at 7p. DM me for an invite!
What it feels like to be a founder right now
🔥 EPISODE DROP: 💬 LLMs In Your SQL 🧰 , Declarative ML vs AutoML 🤖, Crabs as nature’s answer to the question “What creature represents the pinnacle of evolution?” 🦀🔪.... This episode has it all. @w4nderlus7 (@predibase) & @simba_khadder talk about: 🧵 1/n
Really cool to see our feature platform customers be able to use vectors directly This has been a shortcoming of the feature serving world now addressed by @FeatureformML
Really cool to see our feature platform customers be able to use vectors directly This has been a shortcoming of the feature serving world now addressed by @FeatureformML
🥳 Excited to announce v0.9 of @FeatureformML , one of our biggest releases yet! With @Redisinc Vector Store, Embedding Support, API improvements, Expanded Compatibility, and Increased Stability, we're set to make your ML life easier! 🚀 #ml #mlops #datascience 🧵 1/n
Last month, @simba_khadder spoke at the MLOps Community meetup in San Francisco to a packed room. It was a memorable night and for those who missed it or live on the other side of the world, here is Simba’s talk from the evening.
🚨 ATTENTION: The Eagle Has Landed! 🎉 The eagerly anticipated Feature Engineering Guide Part 1 is now live on the site! 🔗 Access it here for free: qr.codes/pBSMCL #featureengineering #datascience #machinelearning #mlops #dataops #featurestores #feature #bestpractices
Had such an awesome conversation with the one and only @josh_wills ! We talked about everything from data infra at the early Slack days up to the LLM revolution!
Had such an awesome conversation with the one and only @josh_wills ! We talked about everything from data infra at the early Slack days up to the LLM revolution!
🧙♂️ In a world where #LLMs & #PromptEngineering cast doubt on Data Scientist careers, a beacon of hope emerges: Traditional #FeatureEngineering.
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