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AI Researcher, Core LLM Architecture & AI Agents

Diffusion Language ModelsFine-tuning (SFT/RLHF/DPO)Efficient InferenceAI AgentsPythonReasoningCore LLM ArchitecturePyTorch

Description

AI PhD candidate at the National University of Singapore (NUS) and an active AI researcher at BottleCap SE. Specializes in core foundational models, focusing on advanced reasoning, diffusion language models, agentic systems, and architectural efficiency. Proficient in Python, PyTorch, and efficient inference techniques, including fine-tuning methods like SFT, RLHF, and DPO.