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Shital Shah

Shital Shah is a principal research engineer at Microsoft Research, where his work spans simulation, debugging tools and AI models. In 2017 he conceived and led the development of AirSim, a simulator built on Unreal Engine for physically and visually realistic simulation. In 2019 a research team he led announced the open-source release of TensorWatch, a debugging and visualization tool for deep learning. He coauthored the Phi-3 and Phi-4 technical reports in 2024 and the Phi-4-reasoning report in 2025.

Works
84
Citations
3,811
h-index
20

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 1994–1997

    Studies at the University of Mumbai

    He studies at the University of Mumbai from 1994 to 1997.

  2. 2005–2012

    Software engineering at Microsoft

    He joins Microsoft in 2005 as a senior software development engineer, a post that runs until 2012. Before joining Microsoft Research, he founds and leads the team behind a distributed machine-learned clustering platform for web-scale data at Bing.

  3. 2017

    The AirSim simulator

    In 2017 he coauthors the AirSim paper, which presents a simulator built on Unreal Engine for physically and visually realistic simulations. He conceives and leads the development of AirSim, which Microsoft Research open-sources in 2017.

  4. 2019

    Open-sourcing TensorWatch

    In 2019 a research team he leads announces the open-source release of TensorWatch, a debugging and visualization tool for deep learning.

  5. June 2023

    The phi-1 code model

    Textbooks Are All You Need, a paper he coauthors in June 2023, introduces phi-1, a 1.3-billion-parameter model for code.

  6. 2023–2024

    Phi-3 and Phi-4 reports

    He coauthors the Phi-3 technical report in April 2024 and the Phi-4 technical report in December 2024. From March 2023 to November 2024 he works as a member of technical staff and leads code infrastructure for the Phi models.

  7. April 2025

    The Phi-4-reasoning report

    In April 2025 he coauthors the Phi-4-reasoning technical report, which introduces a 14-billion-parameter reasoning model.

  8. Since 2024

    Principal research engineer at Microsoft

    In November 2024 he becomes a principal research engineer at Microsoft Research, within the AI Frontiers Lab.

Sources and credits

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  1. Shital Shah | alphaXiv alphaxiv.org. Checked 15 October 2026.
  2. Speaker: Shital Shah: Data science + business analytics training: Strata Data Conference conferences.oreilly.com. Checked 15 October 2026.
  3. [1705.05065] AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles arxiv.org. Checked 15 October 2026.
  4. Microsoft extends AirSim to include autonomous car research - Microsoft Research microsoft.com. Checked 15 October 2026.
  5. Microsoft Open-Sources TensorWatch AI Debugging Tool - InfoQ infoq.com. Checked 15 October 2026.
  6. [2306.11644] Textbooks Are All You Need arxiv.org. Checked 15 October 2026.
  7. [2404.14219] Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone arxiv.org. Checked 15 October 2026.
  8. [2412.08905] Phi-4 Technical Report arxiv.org. Checked 15 October 2026.
  9. [2504.21318] Phi-4-reasoning Technical Report arxiv.org. Checked 15 October 2026.
  10. Phi-4-reasoning Technical Report - Microsoft Research microsoft.com. Checked 15 October 2026.