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Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Starstruck

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cuicaihao/README.md

Hi Friends

C.Cui Blog Linkedin: Chris Cui Lincense GitHub followers GitHub Stars

I’m a professional Machine Learning Engineer and experienced Data Scientist with a strong foundation in control systems, planning, and decision-making. My work lives at the intersection of ML, NLP, CV, and DL — driving the development of practical, intelligent applications that push the boundaries of what machines can learn and do.

With hands-on experience in large-scale retail business environments, I’ve applied advanced machine learning techniques to optimize recommendation systems, customer personalization, and operational efficiency in real-world commercial settings.

Fluent in Python, Java, JavaScript, and C/C++, I build robust AI-powered systems and scalable software solutions. My contributions span from deploying production-grade ML pipelines to refining algorithmic efficiency and system design.

I’m also an advocate for open source, regularly contributing to and maintaining projects focused on NLP, algorithms, and applied machine learning.

  • 📝 Visit C.Cui Blog to find interesting articles.
  • 🔭 I’m currently a Tech Lead and working on recommendation systems for the largest retail business in Australia.
  • 🌱 I have been practicing Software Product Management (SPM) for a few private projects related the stock market and funds analysis since 2019.
  • 😎 Keep building on my project on Quantitative Trading and Stock Ranking Software.
  • ⚡ Fun Fact: I originally planned to be an artist/painter, but accidentally got on the ship of Science and Technology~
  • 🤔 2025 Goals:
    • Keep being role model and targeting the top 10% in Teams.
    • Keep supporting academic communities by offering feedbacks as reviewer and associate editor, please send review invitation to caihao.cui[at]ieee.org.
    • Keep writing my blogs of technology or algorithm applications on my website.
    • Publish 12 long blogs in 2025 on AI application in industry.
    • Contribute more to the Deep Learning Open Source projects (TensorFlow, PyTorch and PaddleX).

📕 Latest 10 Posts on My Blog

👨🏻‍💻 Open Source Project

SplitRaster

image CD DMonth DTotal image image

SplitRaster is a Python Package to split a large image into small tiles. It is useful for deep learning and computer vision tasks. The package can also be used to split a large image into small tiles with geo-information embedded, like tif, tiff.

📖 Tech Stack & Tools

Pinned Loading

  1. Annotated-Transformer-English-to-Chinese-Translator Annotated-Transformer-English-to-Chinese-Translator Public

    An "annotated" version of the Transformer Paper in the form of a line-by-line implementation to build an English-to-Chinese translator.

    Jupyter Notebook 48 12

  2. Webcam_QR_Detector Webcam_QR_Detector Public

    Forked from NaturalHistoryMuseum/pyzbar

    Using Webcam to Read one-dimensional barcodes and QR codes from Python 2 and 3

    Jupyter Notebook 48 20

  3. aerial-image-segmentation aerial-image-segmentation Public

    Aerial Image segmentation by PyTorch

    Jupyter Notebook 31 8

  4. split_raster split_raster Public

    Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageable tiles. While the package is particularly useful for deep …

    Jupyter Notebook 26 2

  5. Deep-Learning-for-Oracle-Bone-Script-Recognition Deep-Learning-for-Oracle-Bone-Script-Recognition Public

    A short description of the project. This Repository will demonstrate using Pytorch to build deep convolutional neural networks and use Qt to create the GUI with the pre-trained model.

    Jupyter Notebook 32 5

  6. Enigma-Mission-X Enigma-Mission-X Public

    Enigma – Mission X Challenge

    Jupyter Notebook 1