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Henrique Schechter Vera

Research Engineer, Google DeepMind

Henrique Schechter Vera is a research engineer at Google DeepMind. Schechter Vera is first author of "EmbeddingGemma: Powerful and Lightweight Text Representations" (2025), the paper describing the open EmbeddingGemma 300M text embedding model, and co-wrote the October 2026 launch post for EmbeddingGemma 2. Schechter Vera is also a co-author of the Gemini Embedding paper (2025).123

At a glance

Current role
Research Engineer
Sector
Company
Work listed
2
Sources cited
3
Profile reviewed

Research

Schechter Vera's recent papers concern text embedding models. Schechter Vera co-authored the Gemini Embedding paper in March 2025 and was first author of the EmbeddingGemma paper in September 2025, which introduced a lightweight open embedding model built on Gemma.321

In October 2026 Schechter Vera and Sahil Dua, both research engineers at Google DeepMind, wrote the Google blog post introducing EmbeddingGemma 2.1

Work and contributions

  • EmbeddingGemma 300M Open weights

    First author of the EmbeddingGemma paper (2025), which presents the lightweight open text embedding model.2

  • EmbeddingGemma 2 Open weights

    Co-author, with Sahil Dua, of Google's October 2026 launch post for EmbeddingGemma 2.1

Timeline

  1. Co-authored "Gemini Embedding, Generalizable Embeddings from Gemini".3
  2. Posted the EmbeddingGemma paper as first author.2
  3. Co-wrote the launch post for EmbeddingGemma 2 with Sahil Dua.1

Where they work

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References

3 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026

  1. EmbeddingGemma 2 launch postGoogle · Announcement · published Oct 6, 2026 · accessed Oct 22, 2026
  2. EmbeddingGemma: Powerful and Lightweight Text Representations (arXiv 2509.20354)arXiv · Paper · published Sep 24, 2025 · accessed Oct 22, 2026
  3. Gemini Embedding: Generalizable Embeddings from Gemini (arXiv 2503.07891)arXiv · Paper · published Mar 10, 2025 · accessed Oct 22, 2026