Own LLM mid-training and post-training research, including continued pretraining, SFT, preference
Research and prototype novel agentic architectures and algorithms across planning, reasoning
Design and build research harnesses and experimentation methodologies that enable systematic
Define evaluation methodologies and develop novel benchmarks for measuring agent reasoning
Identify systematic model and agent failure patterns, determine their root causes, and translate
Independently identify research problems, formulate novel hypotheses, and drive projects from

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