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  • University of Melbourne
  • Melbourne, Australia
  • 02:30 (UTC +10:00)

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MichaelFu627/README.md

Hi there 👋 I'm Xianglong (Michael) Fu

Master of Data Science @ University of Melbourne · B.Sc. in Applied Statistics @ Western University 🇨🇦

  • 🔭 Currently: building an internal operations platform (Next.js / TypeScript / Supabase) & finishing my data science capstone
  • 🌱 Interests: machine learning, data engineering, full-stack development, cloud & distributed systems
  • 📫 Reach me: xfu84@uwo.ca
  • 🌐 Portfolio: michaelfu627.github.io

🛠️ Tech Stack

Python TypeScript R SQL

PyTorch NumPy Pandas scikit-learn

Next.js React Flask FastAPI

Kubernetes Docker Git Linux

📌 Projects

LeNet-5 from Scratch in Pure NumPy A convolutional neural network built with no deep-learning frameworks — hand-implemented forward/backward passes, an im2col + BLAS optimization for an 11× per-step speedup, reaching 96.3% on MNIST, with an interactive 3D Three.js visualization of the network.

AusFlux — Cloud-Native Streaming Analytics (team project) Serverless data pipeline on Kubernetes (Fission + Elasticsearch) ingesting real-time social & weather data, deployed on the Melbourne Research Cloud.

📊 GitHub Stats

Michael's GitHub stats

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  1. glmcompute glmcompute Public

    R Package for Fitting GLMs and GLMMs

    R

  2. go-ai go-ai Public

    A weak AlphaGo trained on my own computer

    Python

  3. lenet5 lenet5 Public

    Rebuilt Yann LeCun's LeNet-5 from scratch using numpy only

    JavaScript

  4. comp90024_team_47_archive comp90024_team_47_archive Public

    COMP90024 A2 — AusFlux, cloud-native data analytics on MRC

    Jupyter Notebook

  5. MichaelFu627.github.io MichaelFu627.github.io Public

    My personal website

    Astro

  6. MichaelFu627 MichaelFu627 Public