PeopleofSuperintelligence

Researcher

Viraat Aryabumi

Viraat Aryabumi is a machine learning researcher whose work spans multilingual language models and code in pre-training. By 2024, he had earned a bachelor's degree in information technology at CBIT, Osmania University, and a master's in artificial intelligence at the University of Edinburgh; he had also worked in display advertising at Amazon, led machine learning and AI at Aiara, and joined Cohere For AI as a Research Scholar. In February 2024, he was second author of the Aya Model paper; in May 2024, he was first author of Aya 23 and presented QLoRA fine-tuning at DataHack Summit 2024. He submitted a code-pretraining paper in August 2024 that appeared at ICLR 2025, coauthored Aya Expanse in December 2024, contributed to Command A in April 2025, and coauthored the Tiny Aya report in March 2026. Since 2025, he is a Member of Technical Staff at Cohere.

Now at
Cohere

Timeline

  1. By 2024

    Degrees and AI roles

    He earns a bachelor's degree in engineering, majoring in information technology, from CBIT, Osmania University, and a master's in artificial intelligence from the University of Edinburgh's School of Informatics. He works on display advertising as a machine learning scientist at Amazon Development Centre in Scotland, then heads machine learning and AI at Aiara, an AI-for-manufacturing startup. By 2024, he is a Research Scholar at Cohere For AI.

  2. February 2024

    The Aya Model paper

    In February 2024, he is second author of the Aya Model paper, an instruction-finetuned generative language model that follows instructions in 101 languages. He helps develop the Aya Project and release the Aya-101 model.

  3. May 2024

    Aya 23 open-weight models

    In May 2024, he is first author of the Aya 23 technical report, which introduces multilingual models serving 23 languages and releases open weights for 8B and 35B models. At DataHack Summit 2024, he presents fine-tuning an open-weights aya-23-8B model on a new language with QLoRA.

  4. 2024–2025

    Code in pre-training data

    In August 2024, he is first author of “To Code, or Not To Code? Exploring Impact of Code in Pre-training,” with Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün and Sara Hooker. In 2025, the paper appears at the International Conference on Learning Representations; its experiments report up to an 8.2% relative gain in natural-language reasoning and a 12x boost in code performance compared with text-only pre-training.

  5. December 2024

    Aya Expanse models

    In December 2024, he is one of Aya Expanse’s 45 authors. The report introduces 8B and 32B multilingual models that outperform Gemma 2, Qwen 2.5 and Llama 3.1 in their parameter classes.

  6. April 2025

    Command A for enterprise

    In April 2025, he is among Team Cohere’s authors of Command A, an agent-optimized enterprise model that supports 23 languages.

  7. March 2026

    Tiny Aya for 70 languages

    In March 2026, he coauthors the Tiny Aya report, which describes a multilingual model trained on 70 languages and refined through region-aware posttraining, with 3.35B parameters.

  8. Since 2025

    Member of Technical Staff

    Since 2025, he is a Member of Technical Staff at Cohere and a speaker at the Cohere Labs Connect Conference.

Career

  1. Since 2025CohereResearch Scholar
  2. AmazonMachine Learning Scientist
  3. AiaraHead of Machine Learning and AI

Education

  1. Osmania UniversityBachelor's in Engineering in information technology
  2. University of EdinburghMaster's in Artificial Intelligence

From the biography.

  1. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Cohere. 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.
  2. 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 Cohere. 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.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Cohere. 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.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Cohere. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

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. Viraat Aryabumi viraataryabumi.info. Checked 21 October 2026.
  2. Analytics Vidhya | DataHack Summit 2024 analyticsvidhya.com. Checked 21 October 2026.
  3. [2402.07827] Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model arxiv.org. Checked 21 October 2026.
  4. [2405.15032] Aya 23: Open Weight Releases to Further Multilingual Progress arxiv.org. Checked 21 October 2026.
  5. [2408.10914] To Code, or Not To Code? Exploring Impact of Code in Pre-training arxiv.org. Checked 21 October 2026.
  6. To Code or Not to Code? Exploring Impact of Code in Pre-Training | ML Anthology mlanthology.org. Checked 21 October 2026.
  7. [2412.04261] Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier arxiv.org. Checked 21 October 2026.
  8. [2504.00698] Command A: An Enterprise-Ready Large Language Model arxiv.org. Checked 21 October 2026.
  9. [2603.11510] Tiny Aya: Bridging Scale and Multilingual Depth arxiv.org. Checked 21 October 2026.
  10. Open Science Community - Connect Conference labscommunity.cohere.com. Checked 21 October 2026.