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

Description

David Valente is an AI PhD candidate at the National University of Singapore (NUS) and an active AI researcher at BottleCap SE. He specializes in core foundational models, focusing on advanced reasoning, diffusion language models, agentic systems, and architectural efficiency. He is available for fractional consulting, technical due diligence, and architecture advisory, partnering with technical teams and investors to design scalable agentic workflows, optimize custom fine-tuning pipelines, slash inference compute costs, and evaluate the true technical defensibility of emerging machine learning stacks.