PeopleofSuperintelligence

Researcher

Siddharth Gandhi

Siddharth Gandhi is an AI researcher whose publications span code retrieval, multimodal generation, language models, and speech systems. He earned an MS at Carnegie Mellon in 2024. In 2025, he coauthored a repository code-search system, a joint text-and-image diffusion model, Magistral, Voxtral, and Devstral. In 2026, he coauthored Ministral 3, Voxtral Realtime, and Voxtral TTS. He is a deep learning researcher at Mistral AI and has worked there since 2025.

Works
15
Citations
11
h-index
2
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2024

    An MS at Carnegie Mellon

    He earns an MS at Carnegie Mellon in 2024.

  2. February 2025

    Repository code search

    In February 2025, he coauthors Repository-level Code Search with Neural Retrieval Methods with Luyu Gao and Jamie Callan. The system combines BM25 retrieval over commit messages with a CodeBERT reranker to find files relevant to a question or bug.

  3. March 2025

    Text-and-image diffusion

    In March 2025, he coauthors Unified Multimodal Discrete Diffusion with Alexander Swerdlow, Mihir Prabhudesai, Deepak Pathak, and Katerina Fragkiadaki. The model jointly understands and generates text and images, with multimodal inpainting and controllable generation.

  4. June 2025

    Mistral's first reasoning model

    In June 2025, he coauthors Magistral, Mistral's first reasoning model and a scalable reinforcement-learning pipeline. Magistral Medium is trained on Mistral Medium 3 with reinforcement learning, and Magistral Small is released under Apache 2.0.

  5. July–August 2025

    Audio and coding models

    In July 2025, he coauthors Voxtral Mini and Voxtral Small, multimodal audio chat models that handle spoken audio and text documents. In August 2025, he coauthors Devstral-Small, a lightweight open-source model for coding agents.

  6. January 2026

    Ministral 3

    In January 2026, he coauthors Ministral 3, a family of parameter-efficient dense language models designed for compute- and memory-constrained applications.

  7. February–March 2026

    Voxtral speech models

    In February 2026, he coauthors Voxtral Realtime, a natively streaming automatic speech recognition model trained end to end. In March 2026, he coauthors Voxtral TTS, an expressive multilingual text-to-speech model.

  8. Since 2025

    Deep learning at Mistral AI

    Since 2025, he works as a deep learning researcher at Mistral AI. In September 2026, he remains affiliated with the company.

Career

  1. Since 2025Mistral AIDeep learning researcher

Education

  1. 2024Carnegie Mellon UniversityMS

From the biography.

Most-cited works

  1. Ministral 32026 · 4 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Andy Lo
  2. Magistral2025 · 3 citationsWith Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg, Baptiste Bout and Baudouin De Monicault
  3. Hybrid Machine Learning Based Heart Disease Detection2024 · 2 citations
  4. In-vitro evaluation of the antimicrobial activities of lichen Usnea ghattensis2013 · 2 citations
  5. Cell autonomous and non-cell autonomous mechanisms of disease in VCP-related ALS2017 · 0 citations

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Siddharth Gandhi. 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. 16% of AI career moves in the 2020s went from a university to a companyIncludes Siddharth Gandhi. 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.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Mistral AI. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Mistral AI. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.

Colleagues

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

Sources and credits

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  1. Jamie Callan's Research Group cs.cmu.edu. Checked 21 October 2026.
  2. Repository-level Code Search with Neural Retrieval Methods arxiv.org. Checked 21 October 2026.
  3. Unified Multimodal Discrete Diffusion arxiv.org. Checked 21 October 2026.
  4. Magistral arxiv.org. Checked 21 October 2026.
  5. Voxtral arxiv.org. Checked 21 October 2026.
  6. Devstral: Fine-tuning Language Models for Coding Agent Applications arxiv.org. Checked 21 October 2026.
  7. Ministral 3 arxiv.org. Checked 21 October 2026.
  8. Voxtral Realtime arxiv.org. Checked 21 October 2026.
  9. Voxtral TTS arxiv.org. Checked 21 October 2026.
  10. Siddharth Gandhi | alphaXiv alphaxiv.org. Checked 21 October 2026.