Rishabh Singh @rishabhs
Research Lead @Databricks. Previously @Meta GenAI, Google Brain @GoogleAI, @MSFTResearch, @MIT_CSAIL @IITKgp rishabhmit.bitbucket.io Mountain View, CA Joined June 2009-
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#DataAISummit 2026 is officially underway! This week, thousands of data and AI leaders, engineers, analysts, architects, and builders are coming together in San Francisco to explore the future of apps and agents through keynotes, technical sessions, training, and hands-on experiences. We'll be sharing announcements, highlights, and moments from across the event all week long. Not in San Francisco? Join the virtual experience here: databricks.com/dataaisummit?u…
Check out Omnigent, an open source harness that lets you use all the existing code harnesses (Claude Code, Codex, OpenCode, pi), collaborate and share sessions in many modalities (e.g. Slack/Teams, cli, webui), while having a fine grained security model that really tightens the control on what agents can do/not do. github.com/omnigent-ai/om…
We have found composing multiple agents for performing complex e2e tasks drives higher accuracy and robustness, and now Omnigent allows everyone to easily build and use multi-agent workflows securely. The multi-user collaboration feature is also very cool, try it out!
Really excited to open source a new project: Omnigent, a meta-harness for AI agents. It lets you build multi-agent coding and custom agents, sitting above Claude Code, Codex, Pi, and agent SDKs to let you compose them. It also adds live collaboration and rich control policies.
Really excited to open source a new project: Omnigent, a meta-harness for AI agents. It lets you build multi-agent coding and custom agents, sitting above Claude Code, Codex, Pi, and agent SDKs to let you compose them. It also adds live collaboration and rich control policies.
Google's Gemini 3.5 Flash is now available on Databricks! @Google just released Gemini 3.5 Flash, and Databricks is among the first outside the Gemini Enterprise Agent Platform to offer it. Build and scale agentic AI applications on your enterprise data with the governance and operational tooling your teams need for production. Congrats to the Google Gemini team on this release. We can't wait to see what you build with it! docs.databricks.com/aws/en/release…
In 1945, Vannevar Bush imagined a machine to extend a scientist's memory. He called it the MemEx. 80 years later, we built one for LLM agents. Tool outputs become Python objects; only print statements reach the model's context. 🧵 databricks.com/blog/memex-pro…
I'm building a new team at @databricks AI Research and we're hiring. We're focused on one of the hardest open problems in AI right now: how do you measure and continuously improve agents that operate on enterprise data at scale. We're looking for founding engineers to build the flywheel that turns evaluation results directly into better agents — from development and training all the way to production. If you want to work on problems that actually matter at the frontier of AI research, I'd love to talk. Link in comments 👇
Super cool work from Databricks AI research team. Data agents are harder than coding agents. Coding agents have verifiable tests. Data agents have to find “truth” across millions of tables, docs, dashboards. Databricks Genie got to 91.6% accuracy, while the leading coding agent only got 32% on enterprise data analysis tasks. Specialized knowledge search + Parallel Thinking + Multi-LLM is the key. Databricks has an amazing research team, and I've been enjoying working with them!
Genie has transformed how Databricks users work with data, with 3x the accuracy of generic agents. We're sharing some of the research behind it and what makes building data agents challenging. Super proud of our research team's impact with this! databricks.com/blog/pushing-f…
Coding agents operate in relatively static environments. Data agents do not. To answer complex enterprise questions, data agents need to discover relevant assets across tables, dashboards, notebooks, and documents, resolve conflicting business context, and reason without deterministic tests. Our latest Databricks AI Research blog shares how Genie addresses these challenges through specialized knowledge search, parallel thinking, and Multi-LLM designs, improving accuracy from 32% to over 90% on real-world data analysis tasks. databricks.com/blog/pushing-f…
There are still a lot of research challenges we need to tackle to further improve Genie, and it has never been a more exciting time to explore research in this area. We are hiring in the Databricks AI research team, please join us!
Finally, we observe that different LLMs offer complementary strengths. Genie’s design leverages this by allowing us to use different models for specific components, all driven by GEPA-optimized prompts! This flexibility is key to finding the best model combinations for jointly optimizing accuracy, latency, and cost.
Super excited to share some of our research on making Genie the best data agent. Data Agents open up a new research frontier for solving complex, real-world enterprise challenges. I was recently discussing with a colleague whether there are still interesting research challenges for Coding agents, and while I believe there are still many challenges there (a topic for another day!), I wanted to highlight some of the unique research challenges for Data Agents and how we tackle them to get up to 3x accuracy improvements on top of coding agents! databricks.com/blog/pushing-f…
Genie has transformed how Databricks users work with data, with 3x the accuracy of generic agents. We're sharing some of the research behind it and what makes building data agents challenging. Super proud of our research team's impact with this! databricks.com/blog/pushing-f…
Genie now enables all business users to ask complex questions across both structured and unstructured data that require rich semantic understanding. Super excited to see how users will use Genie to help them with all the data exploration and analysis in the most natural way!
𝐆𝐞𝐧𝐢𝐞 is now the most important way to do data analysis in Databricks. What's unique about it is its ability to extract semantics from your entire Lakehouse, enabling it to answer complex data questions that cripple agents without a deep data understanding. We've now added a
GPT 5.5 and Codex are now available and manageable on Databricks! Both support Unity AI Gateway so you can manage access and costs, add guardrails, secure access to MCPs centrally, and audit usage. databricks.com/blog/openai-gp…
The numbers are wild, and the best part is what's behind them: hearing how data teams are shipping dramatically faster (and having more fun along the way)!
Just got this internal email on Genie Code progress! For the first time, we have MORE code written by Genie Code than by humans on the platform.
Genie Code now writes more code than Human-written code on the Databricks platform!
Just got this internal email on Genie Code progress! For the first time, we have MORE code written by Genie Code than by humans on the platform.
Loris D'Antoni @lorisdanto
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Brendan Dolan-Gavitt @moyix
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Talia Ringer 🕊🪬 @TaliaRinger
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Jonathan Frankle @jefrankle
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augustus odena @gstsdn
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Disha Shrivastava @DishaShrivasta9
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Andrew Carr 🤸 @andrew_n_carr
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Akul @PrimePolymath
135 Followers 8K Following M.Eng. - Electrical & Computer Engineering 👨🏻🎓 Interests: • Computer Science & Engg. 👨🏻💻 • Quantum & Particle Physics ⚛️ S.T.E.M.-focused 🌱📚🤔💡
Renat Bek @renebek
1 Followers 35 Following
Bhuvanesh Sridharan @_bhuvanesh_
186 Followers 2K Following AI Eng @ databricks. past - ML @ Sprinklr | CS @ IIIT Hyderabad. opinions my own.
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Andrei Lopatenko @AndreiLopatenko
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Logan Matthew Napolit... @Propriocetive
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Sabuhi A. @SAbbaszad70856
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Varun Talwar @vt_65
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Luis Manrique @lluismanrique
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Jacob Morrison @jacobcares
567 Followers 574 Following PhD student @uwnlp @uwcse, research @allen_ai @ai2_allennlp
winter_is_here @west_of_time123
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Bernardo Pamplona @Bgpamplona
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Ambar Choudhury @ambarc
279 Followers 1K Following Building collaborative analytics workspaces for humans and agents. @bitboardhq (YC P25), @goforward, @palantirtech Make products that empower people.
Taishi Nakamura @taishinakamura_
3K Followers 7K Following Working on scalable and efficient LLM (MoE pretraining, RL, reasoning). PhD student at @sciencetokyo_en Intern @SakanaAILabs
Sara Hooker @sarahookr
62K Followers 11K Following Building intelligence that evolves @adaption_ai. Built @Cohere_Labs, @GoogleBrain, @GoogleDeepmind. ML Efficiency, Multimodal\lingual.
Thomas Krier @tkariert
91 Followers 3K Following
Mimansa Jaiswal @MimansaJ
6K Followers 6K Following Currently RS @aiatmeta | LLMs/SLMs Post Training | Data, Evals, Rewards and Agentic System Orchestration https://t.co/Nv4aMHzhTC
Davis Treybig @TreybigDavis
1K Followers 5K Following Early stage investor at Innovation Endeavors, focused on computing infrastructure, data/AI, and tools for builders.
Ronak Pradeep @rpradeep42
808 Followers 667 Following Agents @Databricks @DbrxMosaicAI. Prev @GoogleAI, @Apple, @yupp_ai. PhD @UWaterloo: @TREC_RAG, nuggets, rerankers.
Jindong Gu @gu_jindong_
1K Followers 175 Following Research Scientist @Google Research @GoogleDeepMind Senior Researcher @UniofOxford, #AISafety #Multimodal GenAI Homepage: https://t.co/YOSVO3jIVP
Kim-Mai Cutler @kimmaicutler
58K Followers 32K Following Partner at @initialized. When life hands me lemons, I make tarte au citron.
Gallil Maimon @GallilMaimon
382 Followers 804 Following Speech LMs, Code LMs; PhD @CseHuji, Ex - Meta (FAIR)
Brhanu F Znabu @BZnabu
273 Followers 3K Following Co-Founder @TraversaLab CS PhD-ing @UNLincoln. | Foundational models for genome ☕ Lover
Jun @junasi8
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Karishma Mittal @KarishmaMihjdl
296 Followers 387 Following Not pandering, not settling, clear-headed, independent, free and abundant.
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Billy Porter @porterbilly57
279 Followers 1K Following Research for AGI @DeepMind | NYC | Notre Dame | Code Post-Training, Reinforcement Learning
Manish Pandey 🧬 @Manish_GenAI
374 Followers 7K Following @ICLR_conf 2026, ICML 2026, KDD 2026, ECCV 2026, Co-Founder @RoentGenHealth 🧬 Building a collaborative Platform for Patients and Doctors. 🌐🩻 #GraphML, #RL,
Shubham Toshniwal @ShubhamToshniw6
483 Followers 384 Following Researcher @ Databricks. ex-NVIDIA, Meta, TTIC, IIT Kanpur
Raghu Sugur @RaghuSugur
47 Followers 2K Following
Nhat Nguyen @NhatNguyen78430
7 Followers 1K Following
Chandra Maddila @ch_mad_0
34 Followers 615 Following AI4Code | Research Scientist @Meta | Prev @Microsoft Research. Personal views only.
Swarat Chaudhuri @swarat
3K Followers 676 Following Research Scientist at @GoogleDeepmind London, Professor at @UTCompSci. Automated Reasoning + Machine Learning + Programming Languages.
🇺🇦 Alex Polozov @Skiminok
6K Followers 867 Following Member of Technical Staff @reflection_ai • previously @GoogleDeepMind, @Theteamatx, @MSFTResearch, @uwcse • program synthesis, AI for Code & SWE
Oriol Vinyals @OriolVinyalsML
203K Followers 85 Following VP of Research & Deep Learning Lead, Google DeepMind. Gemini co-lead. Past: AlphaStar, AlphaFold, AlphaCode, WaveNet, seq2seq, distillation, TF.
Aws Albarghouthi @awsTO
2K Followers 1K Following
Pushmeet Kohli @pushmeet
26K Followers 74 Following Chief Scientist, Google Cloud. VP, DeepMind. AI for Science. (Alpha)Fold, Genome, Evolve, Earth, Proof, Co-Scientist, SynthID...
Jonathan Frankle @jefrankle
23K Followers 808 Following Chief AI Scientist @databricks via MosaicML. e/brick
augustus odena @gstsdn
12K Followers 3K Following Something new. Previously: AI research at TBD Labs / Meta; cofounder at @AdeptAILabs; Invented Scratchpad / Chain-of-Thought; Google Brain
Sara Hooker @sarahookr
62K Followers 11K Following Building intelligence that evolves @adaption_ai. Built @Cohere_Labs, @GoogleBrain, @GoogleDeepmind. ML Efficiency, Multimodal\lingual.
Databricks AI Researc... @DbrxMosaicAI
50K Followers 120 Following We remove the barriers to state-of-the-art generative AI model development and make data + AI available to all.
Shubham Toshniwal @ShubhamToshniw6
483 Followers 384 Following Researcher @ Databricks. ex-NVIDIA, Meta, TTIC, IIT Kanpur
Julia Neagu @juliaaneagu
4K Followers 2K Following AI research @Databricks @DbxMosaicAI | founded @QuotientAI ✨ formerly @GitHub @GitHubCopilot 🤖 reformed physicist 👩🔬 ~ opinions are my own ~
Freddie Vargus @freddiev4
1K Followers 2K Following research @databricks — past: founder @quotientai, engineer @githubcopilot, @cohere_labs, @quantopian — Tico 🇨🇷 & Bostonian 🇺🇸
Yuxiang Wei @YuxiangWei9
3K Followers 371 Following PhD candidate @siebelschool | prev @AIatMeta @Snowflake
Ion Stoica @istoica05
8K Followers 20 Following Professor at UC Berkeley, co-founder of Databricks, Anyscale, LMArena, Conviva.
Michael Carbin @mcarbin
3K Followers 458 Following Associate Professor in EECS at @MIT | Co-Founder at @unconvai | Founding Advisor at @mosaicml | Programming Systems | Neural Networks | Unconventiona Computing
Simon FL @simonfl
935 Followers 545 Following Husband to @pearlsesq, Software engineer @databricks, French Canadian (i.e. likes poutine and hockey), previously @stripe, @SlackHQ, @Foursquare, @Google
Dipendra Misra @DipendraMisra
319 Followers 84 Following RL/NLP researcher. Post-training LLM for coding and data science. Ex-Databricks Research, Ex-MSR, Cornell CS PhD. All views are my own. Rarely active here.
Alvin Cheung @alvinkcheung
2K Followers 312 Following Data management and programming systems; Professor @Berkeley_EECS, member of @ucbrise, SLICE Lab, and @UCBIDS
Gal Oshri @GalOshri
325 Followers 269 Following Product @Databricks. Formerly SageMaker @awscloud, @GoogleAI, ML @Microsoft, @PrincetonCS
Ashutosh Baheti @abaheti95
516 Followers 510 Following Sr. Research Scientist, Agentic RL @databricks I'm interested in LLM, Agents, Tool use, Reinforcement Learning and making a JARVIS 🤖
Mihir Kale @maninblack815
181 Followers 742 Following LLMs at Microsoft SuperIntelligence. Previously Meta, Google.
Hanlin Tang @hanlintang
3K Followers 455 Following cto for neural networks @Databricks. previously: cto/co-founder of @MosaicML, director of @intel AI lab, @NervanaSystems
jasmine collins @jazco
7K Followers 710 Following research scientist @databricks! previously @berkeley_ai phd, @googleai and @metaai. interested in human brains and computer brains 💫
Abhay Gupta @gupta__abhay
530 Followers 2K Following @DbrxMosaicAI, previously @cerebras @CMU_Robotics
Krista Opsahl-Ong @kristahopsalong
2K Followers 564 Following AI research @DbrxMosaicAI || Prev @Stanford @StanfordAILab @Google @Microsoft
Jacob Portes @JacobianNeuro
1K Followers 2K Following Member of Technical Stuff @flourishailabs | ex-Databricks, OG-MosaicML. I like it when brains inspire AI 🧠+🤖
Arnav Singhvi @arnav_thebigman
746 Followers 355 Following research @Databricks @Stanford @DSPyOSS 2nd Author https://t.co/UvtIvJsBPe @lateinteraction
Laurens van der Maate... @lvdmaaten
4K Followers 2K Following Member of Technical Staff at Anthropic. Ex-Meta. t-SNE. Llama 3. DenseNet. Web-scale weakly supervised vision. CrypTen.
Ivan Zhou @ivanzhouyq
1K Followers 499 Following AI research @Databricks 🧱 Prev @Uber AI, @stanfordnlp🌲, @UofT🇨🇦, @LandingAI I love computer vision in many ways 📸👨🏻💻🌁
Michael Bendersky @bemikelive
2K Followers 396 Following @ Databricks / ex-Google DeepMind / ex-Google Research Interested in research at the intersection of IR & AI.
Matei Zaharia @matei_zaharia
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Databricks @databricks
92K Followers 1K Following Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.
Aurko Roy @aurko79
2K Followers 372 Following Math & computer science | @AIatMeta (2025-2025) | @GoogleDeepmind (2023-2025) | @GoogleAI (Brain) (2017-2023) | CS PhD @Georgiatech | CS @IITKanpur
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41 Followers 240 Following Research Scientist @Meta Superintelligence Labs, GenAI for code
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13 Followers 1K Following
Shrestha Basu Mallick @shresbm
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Rajeev Alur @RajeevAlur
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sahil bhatia @sahilb17
117 Followers 287 Following PhD student at UC Berkeley; Prev: Microsoft Research
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Xinyun Chen @xinyun_chen_
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394 Followers 359 Following




















