I am an AI/ML and Quant Engineer, passionate about building systems where machine learning meets market intelligence. Currently, I serve as Chief of Staff and Founding Engineer at Silicon Data, a DRW-incubated spin-out backed by Jump Trading, where I lead initiatives in GPU pricing, token analytics, and data infrastructure. My research sits at the intersection of LLMs, reasoning agents, and world-model simulation — working with Prof. Zhou Yu at Columbia University and Arklex.ai to design agents capable of imaginative reasoning and code execution. Previously, at Cornell NLP Group (Prof. Alexander Rush), I worked on generation-augmented retrieval systems, contrastive learning, and large-scale alignment for LLMs.

• Coding Language: Python, Java, JavaScript, CSS, HTML, C++, PHP, SQL, C#.

• Framework: React, Flask, Node.js, Django, Vue.js, SpringBoot, D3.js, TensorFlow, PyTorch, scikit-learn, RESTful.

• Statistical Software: Stata, SPSS, SAS, R, Hierarchical Linear Modeling.

• Other Tools: Hadoop, Spark, AWS, Azure, Git, Docker, Unity, Fusion 360, Blender, 3D printing, Tableau, Latex, Figma.

• Language: Chinese (Native), English (TOEFL iBT 110/GRE 324), Spanish (DELE A2 diploma), French (DELF A2 diploma).

• Certificates: Math for Machine Learning, Statistics, Applied Data Science, Data Science for Executives.

• Hobby: Backpacking ( 25+ countries), Photography (Instagram with 2400+ followers), basketball, tennis, golf, piano, violin.