Rohit Agrawal

[Yuchen Jin @Yuchenj_UW]

Life update: I joined Databricks this week!

I thought I’d do another startup after Hyperbolic, but I was surprised by how startup-y Databricks AI is.

@alighodsi, @pwendell, @matei_zaharia are in full founder mode. They’re the best founders I’ve met. I like working with people who aren’t “normal” and they definitely aren’t. For example, they invited me to an all-hands before I joined.

I’m also impressed by how many former founders are here. @akhilgupta and @hanlintang are incredible leaders.

A big bonus: I finally have unlimited Claude Code & Codex tokens!

AI adoption on the Databricks AI team is insanely high. Every engineer I’ve met uses AI heavily and shares their own ways to drive agents. Many talented people here.

I’m super pumped for this new journey!

[Rohit Agrawal @RohitA5L]

@andy_pavlo @sydhtai @lmwnshn @17zhangw @PostgreSQL @datadictum Congrats @andy_pavlo !!

[Rohit Agrawal @RohitA5L]

h/u @cursor_ai

[Rohit Agrawal @RohitA5L]

AI vs Bazel

[Tecton @TectonAI]

Introducing Rift: Our compute engine that's 10x faster & cheaper than Spark for feature engineering.
Built with @ApacheArrow, @duckdb, and @raydistributed for maximum performance.

Learn how we did it: https://t.co/X2SDtcQjHJ

#MLOps #FeatureEngineering

[Databricks @databricks]

Thursday's the new Friday, right? So celebrate an early start to the weekend with @tectonAI's #ApplyCommunityMeetup!

Tomorrow, our own Ben Wilson will take center stage to talk about #MLOps & engineering best practices that can set you apart. Register! https://t.co/H8jSM3SkBp

[Rohit Agrawal @RohitA5L]

cc @TectonAI

[Rohit Agrawal @RohitA5L]

Excited to see @feast_dev the open source feature store trending on GitHub today https://t.co/5jKsfy2tWU @willpienaar 🎉

[Rohit Agrawal @RohitA5L]

AWS Reinvent ‘21 in one word : Serverless

[Rohit Agrawal @RohitA5L]

@dynamodb

[Rohit Agrawal @RohitA5L]

A few weeks back I load tested Tecton's online feature serving. We served 100,000 Feature Vectors per second and 5,000 Features per Vector. During peak load we were processing over 3 Million DynamoDB QPS. We achieved p99 latencies of 55ms and > 99.99% availability. More here 👇

[Tecton @TectonAI]

In this blog post we’ll benchmark Tecton’s online feature serving capabilities, and show how Tecton is able to serve feature values at low latency (<< 100ms) even at very high load (> 3 million DynamoDB requests per second).

#lowlatency #features #data

https://t.co/Hhe8AIDPbC

[Tecton @TectonAI]

In this blog post we’ll benchmark Tecton’s online feature serving capabilities, and show how Tecton is able to serve feature values at low latency (<< 100ms) even at very high load (> 3 million DynamoDB requests per second).

#lowlatency #features #data

https://t.co/Hhe8AIDPbC

[Rohit Agrawal @RohitA5L]

@julien_c https://t.co/DDtqA30dg0

[Tecton @TectonAI]

Join @SnowflakeDB and @TectonAI at @PyData for a joint session on "Building Production-Ready ML Pipelines on Snowflake", with Miles Adkins and Kevin Stumpf 👉 https://t.co/YYGlDw4DZK

#MLOps #FeatureStore

[Rohit Agrawal @RohitA5L]

Low Latency Streaming Features was one of the first things I worked on at Tecton. Sub second feature freshness enables several Real time ML use cases like transaction fraud detection.

[Tecton @TectonAI]

🚨 Introducing low-latency streaming pipelines for real-time ML. For data teams building features from streaming sources: Tecton now automatically processes streaming features with sub-second latency.

👉 https://t.co/xbfqCZ0sjE

#MLOps #MachineLearning #FeatureStore

[Rohit Agrawal @RohitA5L]

Great thread summarizing the ML data engineering conference apply()

[James Le @le_james94]

1/ My notes from #applyconf✍️It covers:
- Feature Stores
- Evolution of MLOps
- Scaling ML Platforms
- Novel Techniques
- Impactful Internal Projects

Thanks @TectonAI and partners for organizing this ML excellent #DataEngineering exhibition. Enjoy!👇

https://t.co/d9zouqNTUL

[Rohit Agrawal @RohitA5L]

@nirajtolia @kastenhq @microacquire This ? https://t.co/zshZoK8A1k

[Shaan Puri @ShaanVP]

Our micro SPAC is up and running!

[Rohit Agrawal @RohitA5L]

@nirajtolia @kastenhq @microacquire

[Tecton @TectonAI]

🔥 Announcing the amazing lineup of speakers for #ApplyConf. 40 ML practitioners from companies like Google, DoorDash, Microsoft, Netflix, Pinterest, and spotify. 💡

Blog 📃 https://t.co/lBo0gmtayY

Register free 😍 https://t.co/vLIIF95foO

[Tecton @TectonAI]

Learn how Tecton helps @TideBusiness deploy ML models 2x faster with 3x more features per model, all while saving significant engineering time and resources.

#FeatureStore #MLOps #OperationalML #Tide

https://t.co/V8qHZHhZmX