PeopleofSuperintelligence

Researcher

Valeriia Nemychnikova

Valeriia Nemychnikova is an AI researcher whose work spans reasoning, language models, coding agents and speech. They coauthored 2025 papers on reinforcement-learning reasoning, multimodal audio chat and code agents. In January 2026, they coauthored the Ministral 3 report on dense models for compute- and memory-constrained applications. In February 2026, they coauthored Voxtral Realtime; in March 2026, they coauthored Voxtral TTS, which native-speaker evaluations prefer for multilingual voice cloning, with a 68.4% win rate over ElevenLabs Flash v2.5. As of October 2026, they are affiliated with Poolside AI.

Now at
Poolside AI

Timeline

  1. June 2025

    Magistral reasoning models

    In June 2025, they coauthor Magistral, Mistral's first reasoning model and its reinforcement-learning pipeline. The paper presents Magistral Medium, trained for reasoning with RL alone, and open-source Magistral Small.

  2. July 2025

    Voxtral audio chat

    In July 2025, they coauthor Voxtral, which presents Voxtral Mini and Voxtral Small as multimodal audio chat models that comprehend spoken audio and text documents.

  3. August 2025

    Devstral for code agents

    In August 2025, they coauthor the Devstral report, which introduces Devstral-Small as a lightweight open-source model for code agents.

  4. January 2026

    Ministral 3 models

    In January 2026, they coauthor the Ministral 3 report, which describes parameter-efficient dense language models in 3B, 8B and 14B sizes for compute- and memory-constrained applications.

  5. February 2026

    Streaming speech recognition

    In February 2026, they coauthor Voxtral Realtime, a natively streaming automatic speech-recognition model that matches offline transcription quality at sub-second latency.

  6. March 2026

    Multilingual speech generation

    In March 2026, they coauthor Voxtral TTS, an expressive multilingual text-to-speech model. Native-speaker evaluations prefer it for multilingual voice cloning, with a 68.4% win rate over ElevenLabs Flash v2.5.

  7. As of October 2026

    Poolside AI affiliation

    As of October 2026, they are affiliated with Poolside AI.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionWe estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

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  1. Magistral arxiv.org. Checked 21 October 2026.
  2. Voxtral papers.cool. Checked 21 October 2026.
  3. Devstral: Fine-tuning Language Models for Coding Agent Applications arxiv.org. Checked 21 October 2026.
  4. Ministral 3 arxiv.org. Checked 21 October 2026.
  5. Voxtral Realtime arxiv.org. Checked 21 October 2026.
  6. Voxtral TTS arxiv.org. Checked 21 October 2026.
  7. sooobus (Valeriia Nemychnikova) · GitHub github.com. Checked 21 October 2026.