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Achievements

Achievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pull Shark

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RWuilin/README.md

Hi, I'm Ruilin Wang 👋

Software developer with a background in computer science, cybersecurity, software testing, Android development, and applied AI.

This GitHub profile supports my project portfolio and resume. It highlights selected projects involving Python tools, Java/Android applications, testing automation, security-focused software, and computer vision experiments.

I am currently completing my Master of Information Technology in Cyber Security at UNSW and plan to return to Canada in September 2026. I am open to software developer opportunities across Canada.

Portfolio

🌐 https://ruilinwang.com

Technical Areas

  • Software Development
  • Python Tooling
  • Java / Android Development
  • Testing and Automation
  • Cybersecurity
  • Applied AI / Computer Vision
  • Research Software

Featured Projects

Format-Aware Black-Box Fuzzer

A Python-based fuzzing tool for testing stdin-driven binaries with structured and semi-structured inputs.

Highlights

  • Format-aware mutation strategies for CSV, JSON, XML, JPEG, and plaintext inputs
  • Crash, hang, and slow-path detection
  • Dockerized execution environment
  • Reproducible testing workflow

Repository: https://github.com/RWuilin/simplefuzzer

DIMY Contact Tracing Protocol Simulator

A Python simulation of a privacy-preserving contact tracing protocol.

Highlights

  • UDP broadcast and TCP client-server communication
  • Shamir Secret Sharing for threshold-based EphID reconstruction
  • Bloom filter-based encounter matching
  • Passive attacker model for security analysis

Repository: https://github.com/RWuilin/dimy-contact-tracing-simulator

Javenture Android Inventory App

A team-based Android inventory management application.

Highlights

  • Java Android development
  • Firebase integration
  • User workflow design
  • UI and feature testing

Repository: https://github.com/CMPUT301F23T23/Javenture

Environmental Microorganism Image Analysis

A computer vision and deep learning project for microorganism image analysis.

Highlights

  • Image denoising
  • Segmentation
  • Classification
  • Object detection
  • Model comparison and performance evaluation

Repository: https://github.com/RWuilin/Environmental-Microorganism-Image-Analysis-Using-Deep-Learning

Resume

My resume is available through my portfolio:

https://ruilinwang.com/resumes

Connect

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  1. simplefuzzer simplefuzzer Public

    Containerized Python fuzzer with format-aware mutations, crash/hang triage, and reproducible Docker-based execution.

    Python

  2. dimy-contact-tracing-simulator dimy-contact-tracing-simulator Public

    Python simulation of a privacy-preserving contact tracing protocol using UDP/TCP, Shamir Secret Sharing, Bloom filters, and attacker modeling.

    Python

  3. CMPUT301F23T23/Javenture CMPUT301F23T23/Javenture Public

    Android inventory management app built with Java, Firebase, and team-based software engineering practices.

    HTML

  4. Environmental-Microorganism-Image-Analysis-Using-Deep-Learning Environmental-Microorganism-Image-Analysis-Using-Deep-Learning Public

    Computer vision benchmark for microorganism image analysis using denoising, segmentation, classification, and object detection models.

    Jupyter Notebook