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Builders & open source

Hanlin Tang

CTO - Neural Networks, Databricks

Hanlin Tang is the CTO of Neural Networks at Databricks, where Tang is responsible for the company's AI products, according to Databricks' Data + AI Summit 2026 speaker page. Tang was previously the co-founder and CTO of MosaicML, a generative AI startup that joined Databricks. Tang is one of six bylined authors of Databricks' March 2024 post announcing DBRX, a mixture-of-experts language model, and the 2026 summit program lists Tang in a founder conversation on open infrastructure for AI agents.12

At a glance

Current role
CTO - Neural Networks
Company
Databricks
Sector
Company
Work listed
1
Sources cited
7
Profile reviewed

Career

Tang was a co-founder and the CTO of MosaicML, a generative AI startup that joined Databricks. At Databricks, Tang holds the title CTO of Neural Networks and is responsible for the company's AI products. Databricks' speaker biography notes that Tang has published in venues including NeurIPS, ICLR, ICML, Neuron and PNAS.1

Products and projects

Tang was one of the bylined authors of the March 2024 post introducing DBRX, an open mixture-of-experts language model trained by Databricks. Tang's later Databricks posts include the March 2026 public preview of AI Runtime, a serverless training stack for distributed GPU training on the Databricks platform, and its general availability in October 2026.2345

Tang has also written about agent tools at Databricks. A June 2026 post co-written by Tang described updates to Agent Bricks, the company's product for building agents over enterprise data, presented at the 2026 Data + AI Summit, and a March 2026 post by Tang, Xing Chen and Matei Zaharia announced that Databricks was acquiring Quotient AI to add agent evaluation and reinforcement learning to products such as Genie and Agent Bricks.671

Work and contributions

  • DBRX

    One of six bylined authors of Databricks' March 2024 post announcing DBRX, a mixture-of-experts language model built on the MegaBlocks research and open-source project.2

Timeline

  1. Co-authored the Databricks post announcing the DBRX open language model.2
  2. Co-authored the announcement that Databricks was acquiring Quotient AI for agent evaluation.7
  3. Co-authored the post introducing AI Runtime, serverless GPU training on Databricks, in public preview.3
  4. Co-authored the Agent Bricks update post for the 2026 Data + AI Summit.6
  5. Co-authored the post announcing general availability of Databricks AI Runtime.4

Other documented roles

Roles the sources document that are not confirmed as current.

  • Co-founder and CTO, MosaicML1

Where they work

Suggest a correction or removal

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References

7 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Hanlin Tang — Data + AI Summit 2026 speaker pageDatabricks · Official page · accessed Oct 21, 2026
  2. Announcing DBRX: A new standard for efficient open source LLMsDatabricks · Announcement · published Mar 27, 2024 · accessed Oct 21, 2026
  3. Introducing AI Runtime: Scalable, serverless NVIDIA GPUs on Databricks for training and finetuningDatabricks · Announcement · published Mar 19, 2026 · accessed Oct 21, 2026
  4. AI Runtime is Generally Available — Databricks BlogDatabricks · Announcement · published Oct 21, 2026 · accessed Oct 21, 2026
  5. Hanlin Tang's posts — Databricks BlogDatabricks · Official page · accessed Oct 21, 2026
  6. Agent Bricks: Data + AI Summit 2026Databricks · Announcement · published Jun 16, 2026 · accessed Oct 21, 2026
  7. Databricks acquires Quotient AI to power AI agent evaluationsDatabricks · Announcement · published Mar 11, 2026 · accessed Oct 21, 2026