- Research Engineer, Google DeepMind1
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
- Company
- Google DeepMind
- Sector
- Company
- Fields
- Language models, Datasets and data
- 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
Where they work
- Google DeepMind 64 people in the wiki
Related people
- Armand JoulinAlso at Google DeepMind
- David WaddenAlso at Google DeepMind
- Arthur ConmyAlso at Google DeepMind
- Kristina ToutanovaAlso at Google DeepMind
- Ian R. McKenzieAlso at Google DeepMind
- Ronen EldanLanguage models · Datasets and data
- Sheshansh AgrawalLanguage models · Datasets and data
- Andriy MulyarLanguage models · Datasets and data
- Vaishaal ShankarDatasets and data · Language models
- Swabha SwayamdiptaDatasets and data · Language models
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References
3 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026