Project focus
Software development evidence
Formal applications can use the PDF resume; this site explains project context, implementation choices, and results.
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Ruilin Wang
Software Developer Portfolio
Software Developer Portfolio
I build practical software projects across Python tooling, Java/Android development, testing systems, cybersecurity, research software, and applied AI.
Currently completing my Master of Information Technology in Cyber Security at UNSW. Returning to Canada in September 2026 and open to software developer opportunities across Canada.
PythonJavaDockerTestingCybersecurityAndroidApplied AIOpen PGWP valid until Oct 2029
Current status
Graduate studies in Australia
Completing Cyber Security graduate studies at UNSW and returning to Canada in September 2026.
Work authorization
Open PGWP valid until Oct 2029
Open to software developer opportunities across Canada, including onsite, hybrid, and remote roles depending on fit.
Selected projects
Software development projects with technical evidence
A project-focused supplement to my resume, including Python tools, Java/Android applications, testing systems, cybersecurity work, research software, and applied AI experiments.
FeaturedSoftwareTesting
OpenET 2 - Remote Eye-Tracking Data Benchmarking Tools
Summary
Contributed to a client-based research software project extending OpenET, a Python framework for validating, visualizing, and benchmarking remote eye-tracking device data. The work focused on practical checks and plots that help researchers inspect data quality quickly.
My role
Student developer on a client-based UNSW capstone project.
Software DevelopmentResearch SoftwareData ToolingQA / TestingPython
What I built
- Designed Python data-quality checks for missing samples, duplicate timestamps, irregular sampling intervals, invalid gaze coordinates, incomplete recordings, and inconsistent metadata.
- Built visualization workflows for gaze traces, fixation stability, missing-data timelines, and sampling-frequency plots.
- Contributed user and developer documentation to make the tool easier for researchers to adopt.
Evidence
- Client-based project
- Client project: Dr Peter Wagner
- Data validation workflows
Tech stack
PythonPandasNumPyMatplotlibdata validationvisualization
CybersecurityTestingSoftware
Format-Aware Black-Box Fuzzer
Summary
Designed and implemented a Dockerized format-aware black-box fuzzer for stdin-driven binaries. The tool mutates structured inputs and preserves reproducible crash, hang, slow-path, and unusual-output cases for later analysis.
My role
Developer.
CybersecurityQA / TestingSoftware DevelopmentPython
What I built
- Built format-aware mutators for CSV, JSON, XML, JPEG, and plaintext inputs.
- Implemented timeout handling plus crash, hang, slow-path, and unusual-output capture for reproducible debugging.
- Packaged the workflow with Docker and Linux shell execution so targets could be tested repeatably.
Evidence
- Public GitHub repository
- Dockerized workflow
- Crash and hang capture
Tech stack
PythonDockerLinuxShellmutation testingblack-box testing
CybersecuritySoftware
DIMY Contact Tracing Protocol Simulator
Summary
Built a Python simulator for a privacy-preserving contact tracing protocol with frontend nodes, a backend TCP server, and a passive attacker model. The simulator models rotating identifiers, encounter storage, upload/query flows, and adversarial observation.
My role
Contributed mainly to frontend protocol logic, UDP communication, Shamir reconstruction, and Bloom-filter lifecycle.
CybersecurityNetwork SecuritySoftware DevelopmentPython
What I built
- Implemented rotating ephemeral identifiers, UDP broadcast behavior, TCP request-response flows, and Bloom-filter encounter storage.
- Coordinated threading, locks, background loops, and interactive commands for node, server, and attacker workflows.
- Modelled passive attacker observation points to make privacy assumptions easier to inspect.
Evidence
- Public GitHub repository
- Protocol simulator
- Passive attacker model
Tech stack
PythonTCPUDPsocketsthreadinglocks
FeaturedAndroidTesting
Javenture - Android Household Inventory App
Summary
Developed a team-based Android household inventory app with Firebase-backed authentication, storage, image handling, scanning, sorting, filtering, and UI testing. The app supports common inventory workflows from item creation through multi-selection and estimated-value tracking.
My role
Android developer in a team software engineering project.
AndroidSoftware DevelopmentJavaMobileQA / Testing
What I built
- Implemented inventory item flows using Android fragments, RecyclerView lists, ViewModel-style state management, and repository classes.
- Integrated Firebase Authentication, Firestore item persistence, and Firebase Storage image upload/delete workflows.
- Contributed UI tests for add/edit item, photo, scanning, sorting/filtering, multi-selection, and login behaviours.
Evidence
- Public GitHub repository
- Team Android app
- Firebase integration
Tech stack
JavaAndroid StudioFirebase AuthenticationFirestoreFirebase StorageRecyclerView
FeaturedComputer Vision
AgroPest-12 Insect Detection and Classification Benchmark
Summary
Collaborated on a comparative computer vision benchmark for 12-class agricultural pest detection and classification. The project compared classical feature pipelines, hybrid approaches, and modern object detectors across accuracy and runtime metrics.
My role
Collaborator on a group computer vision benchmark.
Computer VisionMachine LearningApplied AIPython
What I built
- Compared classical, hybrid, and deep learning approaches for 12-class insect detection and classification.
- Evaluated models using mAP@50, COCO mAP, accuracy, precision, recall, F1-score, ROC-AUC, latency, and FPS.
- Analyzed failure cases involving small, low-contrast, and camouflaged insects.
Evidence
- Report available upon request
- 80.77% mAP@50
- 97.73% classification accuracy
Tech stack
PythonPyTorchOpenCVUltralytics YOLOYOLOv8YOLOv11n
FeaturedCybersecurity
Digital Forensics Investigation - Caelus Engineering Case
Summary
Conducted a digital forensic investigation of a simulated insider data exfiltration incident. The case study correlates disk, memory, registry, browser, email, USB, and network artefacts into a concise incident narrative.
My role
Digital forensic investigator for a course-based simulated case.
CybersecurityDFIRIncident Response
What I built
- Correlated disk, memory, registry, browser, email, USB, and packet-capture artefacts into a single investigation timeline.
- Used hashing, artefact cross-checking, and timeline analysis to separate stronger indicators from system noise.
- Translated technical findings into remediation recommendations for account, endpoint, logging, DLP, and legal follow-up.
Evidence
- Report available upon request
- Reconstructed timeline
- Safe DFIR case study
Tech stack
AutopsyVolatility 3WiresharkMiTeC Registry RecoveryWindows RegistryMBOX
Technical areas
Practical areas covered by the portfolio
The projects connect software implementation with testing, security reasoning, data tooling, Android workflows, and applied AI experiments.
View projects
Cybersecurity / DFIR
Evidence-led case studies, network security, and safe tooling.
DFIRVolatility 3Wiresharkfuzzingtimeline reconstruction
View projects
Software Development
Production-minded tools, data workflows, and clean interfaces.
PythonJavaTypeScriptREST APIsDocker
View projects
Computer Vision / ML
Applied AI experiments with measurable model outcomes.
PyTorchOpenCVYOLOFaster R-CNNscikit-learn
View projects
Android / Mobile
Firebase-backed Android apps with tested user flows.
JavaAndroid StudioFirestoreRecyclerViewUI testing
View projects
QA / Testing Tooling
Validation, fuzzing, reproducibility, and failure analysis.
mutation testinginput validationcrash detectiondata validation
GitHub
Code evidence
Selected public repositories that show runnable tools, protocol simulation, and Android team development.
RWuilin/simplefuzzer
Format-Aware Black-Box Fuzzer
Designed and implemented a Dockerized format-aware black-box fuzzer for stdin-driven binaries. The tool mutates structured inputs and preserves reproducible crash, hang, slow-path, and unusual-output cases for later analysis.
PythonDockerLinuxShellmutation testing
Public repository
RWuilin/dimy-contact-tracing-simulator
DIMY Contact Tracing Protocol Simulator
Built a Python simulator for a privacy-preserving contact tracing protocol with frontend nodes, a backend TCP server, and a passive attacker model. The simulator models rotating identifiers, encounter storage, upload/query flows, and adversarial observation.
PythonTCPUDPsocketsthreading
Public repository
CMPUT301F23T23/Javenture
Javenture - Android Household Inventory App
Developed a team-based Android household inventory app with Firebase-backed authentication, storage, image handling, scanning, sorting, filtering, and UI testing. The app supports common inventory workflows from item creation through multi-selection and estimated-value tracking.
JavaAndroid StudioFirebase AuthenticationFirestoreFirebase Storage
Public repository
Skill map
Tools used across the project work
Grouped for recruiter scanning and backed by project work throughout the site.
Cybersecurity
DFIRWindows RegistryAutopsyVolatility 3WiresharkMBOXLNKUSBSTORtimeline reconstructionevidence hashingOWASP Top 10fuzzing
Software Development
PythonJavaTypeScriptSQLCShellOOPdebuggingtestingREST APIsGitDockerLinux
Data / ML / CV
PandasNumPyMatplotlibOpenCVPyTorchTensorFlowscikit-learnYOLOFaster R-CNNU-NetDeepLabV3+
Android
JavaAndroid StudioFirebase AuthenticationFirestoreFirebase StorageRecyclerViewMVVM-style architecture
QA / Testing
mutation testingdata validationinput validationcrash detectionhang detectionUI testingreproducible test cases
Resume PDF
Formal resume for applications
This portfolio is a project-focused supplement to my resume. For formal applications, please use the PDF resume below.
Contact
Open to software developer opportunities across Canada
Currently completing graduate studies in Australia. Returning to Canada in September 2026. I am open to software developer roles where project depth, debugging, testing, and technical communication matter.