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Jinming Hu

Software Engineer

DolphinDB Inc.

Biography

I am now a software engineer @ DolphinDB Inc.

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. 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 and Google.

Interests

  • Database
  • Operating System
  • System Programming
  • Information Retrieval
  • Machine Learning

Education

  • MEng in Artificial Intelligence, 2020

    Zhejiang University

  • BSc in Aerospace Engineering, 2017

    Northwestern Polytechnical University

Experience

 
 
 
 
 

Software Engineer

DolphinDB

Mar 2021 – Present Hangzhou

Responsibilities include:

  • Designing and building the storage engine for IoT(Internet of Things), which is extremely efficient both for analytics, writing data, and point-query.

  • Maintaining and extending the existing computing engine

    • Designing and developing new computing functionalities like distributed join
    • Optimizing existing functionalities such as group by, context by, and etc.
 
 
 
 
 

Invited Lecturer

Zhejiang University

Nov 2020 – Jan 2021 Hangzhou
Responsibilities include:

  • Designing and teaching the core course “Machine Learning” for the Turing class, together with Prof. Deng Cai
 
 
 
 
 

System Developer

Optiver

Apr 2020 – Nov 2020 Shanghai

Responsibilities include:

  • Developing the rule-based autotraders.

  • Improving the machine learning pipeline.

  • Improving the testing environment for binaries.

 
 
 
 
 

ML SWE Intern

Google CloudAI

Jun 2019 – Sep 2019 Beijing
Exploring extended application for Tesseract with some development.

 
 
 
 
 

ML Engineer Intern

Hangzhou FABU Co. Ltd

May 2018 – Nov 2018 Hangzhou
Responsibilities include:

  • Designing and developing human face module in ADAS
  • Designing and developing human face verification system
 
 
 
 
 

ML Research Intern

Hangzhou Netease Co. Ltd

Jan 2018 – Mar 2018 Hangzhou
Researching in single image super resolution.
 
 
 
 
 

Master Student

Zhejiang University

Sep 2017 – Mar 2020 Hangzhou
Responsibilities include:

  • Learning basic computer science knowledge
  • Researching in machine learning, data mining and computer vision
  • Teaching assistants for Machine Learning course

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Projects