🎓 Computer Science (Cloud Computing) @ Sheridan College
🧠 Software QA Tester at the Ontario Public Service, ensuring reliability & scalability
⚙️ Passionate about Cloud Automation, AI Agents, and DevOps pipelines
💡 Building smarter workflows and exploring AI-driven operational intelligence
| Area | What I'm Doing |
|---|---|
| ☁️ Cloud Automation | Docker, IaC, Azure/GCP setup scripts |
| 🤖 AI for QA | Using LLMs for smarter test generation and validation |
| 🧩 DevOps Pipelines | GitHub Actions, automated environments |
| 📊 Data & Insight Tools | SQL + AI analytics dashboards |
AI-based app that supports users with memory challenges using reminders & recognition.
Stack: Flutter • Firebase • Python (AI SDKs)
My Role: QA Lead — handled testing, automation, and cloud integration.
Capstone project optimizing resource cost across AWS, Azure, and GCP.
Focus: cloud orchestration, automation scripts, dashboards.
Python utilities automating repetitive QA tasks and data validation using OpenAI API.
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Languages & Frameworks
- Python • JavaScript / TypeScript • SQL
Cloud & DevOps
- Docker • Azure • GCP • GitHub Actions • Linux Shell
AI & Data
- OpenAI API • LangChain • Pandas / NumPy • Jupyter
Testing & QA Tools
- Postman • Manual & Automated Testing • SQL Validation
Other Tools
- Git • VS Code • Jira • Confluence
🧠 Exploring:
- AI-assisted cloud management
- Infrastructure-as-Code
- Prompt engineering for DevOps productivity
✍️ Upcoming posts:
- “Automating QA workflows with AI”
- “Cloud deployment in one YAML”
- “AI copilots for testers: smarter validations”
