Welcome to CC’Log, a blog and portfolio showcasing my work as a Machine Learning Engineer, Senior Data Scientist, and Control System Engineer. I specialize in Machine Learning (ML), Computer Vision (CV), Natural Language Processing (NLP), and Deep Learning (DL), crafting innovative applications and solutions.
🧑💻 About Me
- 🔭 I’m currently a Tech Lead and working on recommendation systems for the largest retail business in Australia.
- 📝 Visit C.Cui Blog to find interesting articles.
- 🌱 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~
📕 Latest 10 Posts
- 2024 Guest Lecture Notes: AI, Machine Learning and Data Mining in Recommendation System and Entity Matching
- Is the AI PC a Gimmick or a Faster Carriage?
- AI Revolutionizes Industry and Retail: From Production Lines to Personalized Shopping Experiences
- The Future of Coding: Will Generative AI Make Programmers Obsolete?
- Enigma – Mission X Challenge Accomplished with Python
- Prompt Engineering for LLM
- Technical Review 04: Human-Computer Interface from In-Context Learning to Instruct Understanding
- Technical Review 03: Scale Effects & What happens when LLMs get bigger and bigger
- Technical Review 02: Data and Knowlege for Large Language Model (LLM)
- Technical Review 01: Large Language Model (LLM) and NLP Research Paradigm Transformation
Featured 👨🏻💻 Open Source Project
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.
- Github: https://github.com/cuicaihao/split_raster
- Pypi: https://pypi.org/project/splitraster/
- Tutorial with Docs: https://cuicaihao.github.io/split_raster/
🤔 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 one paper on academic journals in 2025 on AI application in industry.
- Contribute more to the Deep Learning Open Source projects (TensorFlow, PyTorch and PaddleX).