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laikhanhhoang/README.md

🧑‍💻 About me

  • I’m interested in ML/AI, Cloud/DevOps/MLOps, Software Development and I will always keep improving my knowledge. You can follow my learning journey or explore the course materials here.
  • I joined MMLab in September 2025 and I am working towards completing my first research paper in the near future.
  • I am always interested in joining communities focused on AI/ML. If you think we could be a good fit, feel free to connect. I’m excited to collaborate in challenges such as hackathons and Kaggle competitions.

💻 Tech Stack

Python AWS Django FastAPI Nginx scikit-learn PyTorch Pandas NumPy mlflow Matplotlib GitHub GitHub Actions MySQL Postgres AmazonDynamoDB

🗂️ Projects

I believe a truly complete project should be end-to-end — from experimenting in notebooks to packaging an API and deploying it to the cloud. Unfortunately, I don’t have any projects to showcase yet. I’m committed to completing at least one by early January 2026.

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  1. Coding_Practice Coding_Practice Public template

    This is my self-learning journey, where I practice OOP, DSA, and SQL across languages like Python, Golang, etc. and tackling challenges on platforms such as LeetCode, HackerRank, ...

    Jupyter Notebook 1

  2. my-learning-journal my-learning-journal Public

    Python

  3. DS200 DS200 Public

    This repository contains materials for the DS200.Q21 - Big Data Analyst course, including slides and assignments.

  4. SE365 SE365 Public

    This repository contains materials for the DS200.Q21 - Deep Learning Applications in Software Development course, including slides and assignments.