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Remote Working
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Remote Working
54 followers · 33 following

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Achievements

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

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cuicaihao/README.md

Hi Friends

LinkedIn C.Cui Blog GitHub followers GitHub Stars Lincense

I'm a Machine Learning Engineer and Data Scientist specializing in ML, NLP, CV, DL, GenAI, and Agentic AI. I develop practical, intelligent applications that push boundaries in machine learning and automation.

As Tech Lead in large-scale retail, I've optimized recommendation systems and operational efficiency using advanced ML and generative AI. I specialize in building autonomous agentic systems leveraging LLMs for intelligent decision-making.

Proficient in Python, Java, JavaScript, and C/C++, I build robust AI-powered systems—from production ML pipelines to agentic workflows. Active in open source, contributing to projects in NLP, algorithms, and generative AI.

  • 📝 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~
  • 🤔 2026 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 6 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 57 13

  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 19

  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 27 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 34 5

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

    Enigma – Mission X Challenge

    Jupyter Notebook 1