I am now the founder and Chief Scientist of Sea-Land.ai.
I was a PhD student at the Department of Computer Science, University of Toronto. Before that, I graduated as a master student of artificial intelligence from the Zhejiang University CAD&CG National Key Lab ZJULearning Group. I was very fortunate to be advised by Prof. Deng Cai and Prof. Xiaofei He. I was also a research intern at the University of Toronto, where I was very unfortunate to work with Qizhen Zhang, so I decided to quit at last. My research includes machine learning, data mining, deep learning, computer vision, operating system, system programming, and database. I have worked as a system developer in Optiver Shanghai and have interned as a machine learning engineer in Hangzhou FABU, where I was fortunate to work with many colleagues, and in Google, where I was fortunate to work with Jingtao Wang. I was also a software engineer @ DolphinDB Inc, where I was fortunate to work with Davis and Xinjing Zhou, and many colleagues.
MEng in Artificial Intelligence, 2020
Zhejiang University
BSc in Aerospace Engineering, 2017
Northwestern Polytechnical University
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Fortunate to work with Davis, Xinjing Zhou, and many colleagues.
Designing and building the storage engine for Time-Series Database, which is extremely efficient both for analytics, writing data, and point-query.
Leading System/DB for AI, add textDB(text search in DolphinDB), vectorDB, and etc.
Maintaining and extending the existing computing engine
Responsibilities include:
Responsibilities include:
Developing the rule-based autotraders.
Improving the machine learning pipeline.
Improving the testing environment for binaries.
Exploring extended application for Tesseract with some development.
Fortunate to work with many colleagues.
Responsibilities include: