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Resume (English only)
Academic Achievements
Published a paper titled 'Combining Pretrained High Resource Embeddings And Subword Representations For Low Resource Languages', which was accepted to the ICLR 2020 AfricaNLP Workshop.
Research Experience
Serves as a research scientist at Google DeepMind in London, focusing on projects related to the Gemini team, including significant contributions to multiple versions of Gemini and Gemma open-source large language model releases.
Background
A research scientist at Google DeepMind in London working on post-training and scaling RL on the Gemini Team. Co-led efforts that became the Gemini Pro 1.5 1M context release, and drove the Gemini 2.5 Flash Thinking release. Core contributor for the Gemini 1.0, 1.5, 2.0, 2.5 releases, and the Gemma 1 & 2 open-source LLM releases.
Miscellany
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