# Min Choi (slim)

> Min Choi is embeddingGemma launch product manager; current Gemini models PM. EmbeddingGemma 300M on Anchor Terminal, with grades, an about and public profiles.

- Full: https://www.anchorterminal.com/people/min-choi/index.md (~850 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/people/min-choi/index.json · canonical https://www.anchorterminal.com/people/min-choi/
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-27
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

EmbeddingGemma launch product manager; current Gemini models PM.

- LinkedIn: https://www.linkedin.com/in/minschoi
- X: https://x.com/iohcsnim

## What Min builds

- [EmbeddingGemma 300M](https://www.anchorterminal.com/tools/embeddinggemma-300m.md), graded D, 50.7/100, in Embeddings & rerankers. EmbeddingGemma 300M is Google DeepMind's open-weight text embedding model of 308M parameters, returning 768-dimension vectors that truncate to 512, 256 or 128 from up to 2,048 tokens in over 100 languages, gated under the Gemma Terms of Use. EmbeddingGemma launch product manager; current Gemini models PM, researched 2026-10-27.

## Works with

- [Brendan O’Donoghue](https://www.anchorterminal.com/people/brendan-o-donoghue/), Director of Research; DiffusionGemma / Gemini Diffusion lead
- [Gus Martins](https://www.anchorterminal.com/people/gus-martins/), Gemma Product Manager
- [Sahil Dua](https://www.anchorterminal.com/people/sahil-dua/), EmbeddingGemma research lead; launch lead research engineer
- [Sebastian Flennerhag](https://www.anchorterminal.com/people/sebastian-flennerhag/), Research Scientist; DiffusionGemma research lead

## Questions

### Who is Min Choi?

Min Choi is embeddingGemma launch product manager; current Gemini models PM.

### What does Google DeepMind make?

Anchor Terminal lists EmbeddingGemma 300M from Google DeepMind.

### How are Min's tools graded?

EmbeddingGemma 300M is graded D, 50.7 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.

## Sources

- https://uk.linkedin.com/in/lgusmartins
- https://x.com/gusthema
- https://developers.googleblog.com/en/introducing-embeddinggemma/
- https://arxiv.org/abs/2509.20354
- https://x.com/sahildua2305
- https://www.linkedin.com/in/minschoi
- https://x.com/iohcsnim
- https://gemma.ai/
- https://x.com/Google
- https://deepmind.google/
- https://huggingface.co/google/embeddinggemma-300m
- https://ai.google.dev/gemma/docs/discord

These are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched.