Primary target
Entry-level Software Developer
Python, Java, TypeScript, data tooling, debugging, testing, and Git-based development.
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Ruilin Wang
Software Developer with Cybersecurity, Applied AI, and Computer Vision projects
Entry-Level Software Developer with Security, AI, and Product-Building Range
Computer Science graduate and Master of Information Technology candidate building practical software across Python tooling, Android, testing, cybersecurity, computer vision, and applied machine learning. Based in Canada and ready for junior software developer roles.
Edmonton, AB, CanadaEligible to work in Canada | Open PGWP valid until Oct 2029
Differentiators
Security + Applied AI range
Cybersecurity, DFIR, fuzzing, computer vision benchmarks, ML pipelines, and Android projects.
Canada readiness
Edmonton-based, open PGWP
Eligible to work in Canada with open PGWP valid until Oct 2029.
Career tracks
Role-focused paths through the work
Start with software development, then scan adjacent strengths in cybersecurity, applied AI, Android, and QA.
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Cybersecurity / DFIR
Evidence-led case studies, network security, and safe tooling.
DFIRVolatility 3Wiresharkfuzzingtimeline reconstruction
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Software Development
Production-minded tools, data workflows, and clean interfaces.
PythonJavaTypeScriptREST APIsDocker
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Computer Vision / ML
Applied AI experiments with measurable model outcomes.
PyTorchOpenCVYOLOFaster R-CNNscikit-learn
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Android / Mobile
Firebase-backed Android apps with tested user flows.
JavaAndroid StudioFirestoreRecyclerViewUI testing
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QA / Testing Tooling
Validation, fuzzing, reproducibility, and failure analysis.
mutation testinginput validationcrash detectiondata validation
Featured
Projects that demonstrate build, test, and problem-solving ability
Each card highlights the problem, role, stack, key features, impact, and links a recruiter or hiring manager can scan quickly.
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.
Problem
The goal was to determine whether data had been accessed, staged, concealed, or exfiltrated, then translate technical evidence into remediation actions that a security team could act on.
My role
Digital forensic investigator for a course-based simulated case.
CybersecurityDFIRIncident Response
Key features
- Host, memory, browser, email, USB, and network artefact review.
- Incident timeline reconstruction across multiple evidence sources.
Impact
- Reconstructed timeline
- Safe DFIR case study
- Remediation roadmap
Tech stack
AutopsyVolatility 3WiresharkMiTeC Registry RecoveryWindows RegistryMBOX
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.
Problem
Researchers need reliable tooling to find missing samples, timestamp issues, invalid gaze coordinates, incomplete recordings, and inconsistent metadata before running eye-tracking analyses.
My role
Student developer on a client-based UNSW capstone project.
Software DevelopmentResearch SoftwareData ToolingQA / TestingPython
Key features
- Reusable data validation checks for eye-tracking recordings.
- Quality-control plots for gaze traces and missing data.
Impact
- Client-based project
- Data validation workflows
- Research plots
Tech stack
PythonPandasNumPyMatplotlibdata validationvisualization
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.
Problem
Agricultural pest monitoring needs models that can detect small, low-contrast, and camouflaged insects while remaining practical enough for timely use.
My role
Collaborator on a group computer vision benchmark.
Computer VisionMachine LearningApplied AIPython
Key features
- Classical and deep learning model comparison.
- Detection and image-level classification evaluation.
Impact
- 80.77% mAP@50
- 97.73% classification accuracy
- Group benchmark
Tech stack
PythonPyTorchOpenCVUltralytics YOLOYOLOv8YOLOv11n
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.
Problem
Household inventory tracking needs fast item entry, photo management, scan-based lookup, sorting, filtering, and reliable persistence across authenticated users.
My role
Android developer in a team software engineering project.
AndroidSoftware DevelopmentJavaMobileQA / Testing
Key features
- Authenticated household item storage.
- Image upload and delete workflows.
Impact
- Team Android app
- Firebase integration
- UI-tested workflows
Tech stack
JavaAndroid StudioFirebase AuthenticationFirestoreFirebase StorageRecyclerView
GitHub
Public repositories with practical implementation work
Selected 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
Technical skills
Practical tools across security, software, AI, mobile, and QA
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