Mingxiao Song

Driven by a deep curiosity about the potential of intelligent systems, I’m passionate about building AI-powered products that solve meaningful, real-world problems—where theory meets application and innovation drives change. My interests lie at the intersection of NLP, large language models, search and information retrieval, multimodal AI, and emerging agentic systems.

I see data as powerful, expressive, and transformative. With a solid foundation in computer science and AI, I’m currently pursuing a Master’s in Data Science at Harvard, exploring interdisciplinary ways to apply deep learning and generative models for societal impact. Whether diving into neural architectures or iterating on startup ideas, I aim to push the boundaries of what intelligent systems can do.

Actively seeking full-time opportunities as a Research Engineer, ML/AI Engineer, or Applied Scientist to build systems that advance both technical frontiers and the greater good.