Hongbo

Hongbo

Hi, this is Hongbo Wei. Welcome to my portfolio website.

Hongbo

Hongbo Wei
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  • Hongbo Wei

    University of Birmingham Dubai

    MSc in Artificial Intelligence and Computer Science

    Machine Learning Engineer

    Welcome

    About

    Machine Learning Engineer focused on scalable AI solutions and real-world impact. Passionate about innovation and data-driven results.

    Experience

    Prime Life Science (算法工程师). Ex-Zhijiang Lab. LLMs, data pipelines, NLP, and open source contributor.

    Education

    MSc AI & CS (Distinction), Birmingham. Harvard CS50, Stanford ML, NVIDIA DL. Award-winning academic record.

  • Personal Projects

    • Black Dragon and Brave Knight

      Black Dragon and Brave Knight

      A 2D video game based on MIT Scratch. It is the starting point of gaming development for me.
    • AWS Bedrock - LLMs

      My Affirmations - AWS & LLMs

      My Affirmations is a responsive web app built with Vite, Node.js, and Git. It uses Amazon Bedrock with LLMs like Claude and Claude 3 Haiku to generate context-aware affirmations. Efficient async operations were implemented for a smoother user experience, with Git managing version control and collaboration.
    • boxinghub

      BoxingHub

      A responsive, full-stack web application with Python (Django), HTML, CSS, JavaScript, and SQL, emphasizing both AI-driven features and efficient cloud-based deployment. Led DevOps initiatives using GitHub Actions to set up CI/CD pipelines on Google Cloud Platform (GCP), automating deployments.
    • Lunar Lander

      Lunar Lander

      Utilize reinforcement learning to train the machine to land on the moon safely
    • LittleLemon Restaurant

      LittleLemon Restaurant

      A full-stack web application based on Django and RESTful API, for customers to look at the menu, book a spot, place and track orders at a restaurant.
    • CS50 Finance

      CS50 Finance

      A web application that leverages the Yahoo Finance API to simulate stock trading, built with Python (Flask), HTML, CSS, JavaScript, and SQLite.
    • Global Status of CC Security Certification

      Global Status of
      CC Security Certification

      A full-stack solution implemented in Python and MySQL to scrap and analyse Common Criteria data.
    • FashionMNIST Classifier Suite

      FashionMNIST Classifier Suite

      Implementation of SVM and MLP classifiers for the FashionMNIST dataset, with visualizations and performance comparison.

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  • Academic City, Dubai, UAE hongbowei.bruce@gmail.com +971 58 594 1866
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