PeopleofSuperintelligence

Researcher

Nikhil Raghuraman

Nikhil Raghuraman is a computer scientist whose work spans visual reasoning, multimodal models, speech, and coding agents. He earned bachelor's and master's degrees in computer science at Stanford, where he worked with Serena Yeung and Leonidas Guibas, then moved from software engineering at Jane Street to AI research at Mistral AI. His work includes a 2023 study of context in Bongard problems, Pixtral 12B, AllTracker, Mistral's 2025 reasoning, audio, and coding models, and the 2026 Ministral 3 report. Since January 2026, he is a Member of Technical Staff at OpenAI.

Now at
OpenAI
Works
8
Citations
28
h-index
3
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2018–2023

    Computer science at Stanford

    At Stanford, he studies computer science as a BA student from 2018 to 2022 and as an MSc student from 2022 to 2023. He earns both degrees and works with Professors Serena Yeung and Leonidas Guibas.

  2. 2023

    Support-set context for Bongard problems

    In 2023, he coauthors Support-Set Context Matters for Bongard Problems with Adam W. Harley and Leonidas Guibas. The paper studies how adapting image features to the full support set can improve Bongard problem solving.

  3. September 2023–January 2026

    Jane Street to Mistral AI

    From September 2023 to August 2024, he works as a software engineer at Jane Street. In September 2024, he joins Mistral AI as an AI Scientist and works there through January 2026.

  4. 2024

    Pixtral 12B

    In 2024, he coauthors Pixtral 12B, a multimodal language model trained to understand natural images and documents.

  5. 2025

    Mistral's reasoning, audio and coding models

    In 2025, he coauthors Magistral, Mistral's first reasoning model and a scalable reinforcement-learning pipeline. He also coauthors Voxtral Mini and Voxtral Small, audio chat models trained to understand spoken audio and text documents, and Devstral-Small, a lightweight open-source model for code agents.

  6. 2025

    AllTracker point tracking

    In 2025, he coauthors AllTracker, which estimates long-range point tracks by computing flow between a query frame and every other video frame. It produces high-resolution, dense correspondence fields.

  7. January 2026

    Ministral 3

    In January 2026, he coauthors Ministral 3, a family of parameter-efficient dense language models for applications with limited compute and memory. Each model supports image understanding and is released under Apache 2.0.

  8. Since January 2026

    Member of Technical Staff

    Since January 2026, he is a Member of Technical Staff at OpenAI.

Career

  1. Since 2026OpenAIMember of Technical Staff
  2. 2024–2026Mistral AIAI Scientist
  3. 2023–2024Jane StreetSoftware Engineer
  4. 2023–2025Stanford University

Education

  1. Stanford UniversityBachelor's degree

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. AllTracker: Efficient Dense Point Tracking at High Resolution2025 · IEEE/CVF International Conference on Computer Vision (ICCV) · 11 citations
  2. Pixtral 12B2024 · 8 citationsWith Alexandre Sablayrolles, Amélie Héliou, Diego de las Casas, Emma Bou Hanna, Pavankumar Reddy Muddireddy and Romain Sauvestre
  3. Ministral 32026 · 4 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Andy Lo
  4. Magistral2025 · 3 citationsWith Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg, Baptiste Bout and Baudouin De Monicault
  5. Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment2023 · 0 citations

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Nikhil Raghuraman. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Nikhil Raghuraman. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  3. 16% of AI career moves in the 2020s went from a university to a companyIncludes Nikhil Raghuraman. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  4. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes OpenAI. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Nikhil Raghuraman yet. Send us a free-licensed photo.

  1. Nikhil Raghuraman nikhilraghuraman.com. Checked 21 October 2026.
  2. Nikhil Raghuraman | alphaXiv alphaxiv.org. Checked 21 October 2026.
  3. Support-Set Context Matters for Bongard Problems arxiv.org. Checked 21 October 2026.
  4. Pixtral 12B arxiv.org. Checked 21 October 2026.
  5. Magistral arxiv.org. Checked 21 October 2026.
  6. Voxtral arxiv.org. Checked 21 October 2026.
  7. Devstral: Fine-tuning Language Models for Coding Agent Applications arxiv.org. Checked 21 October 2026.
  8. AllTracker: Efficient Dense Point Tracking at High Resolution arxiv.org. Checked 21 October 2026.
  9. Ministral 3 arxiv.org. Checked 21 October 2026.