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Databricks researcher focused on agentic reasoning, synthetic data, and post-training.
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Shubham Toshniwal is a senior research scientist at Databricks Mosaic. His homepage and CV describe prior work at NVIDIA and FAIR, with research centered on synthetic data, reinforcement learning, agentic reasoning, and mathematical reasoning for language models.
Profile status: updated
Databricks researcher focused on agentic reasoning, synthetic data, and post-training.