CS @ Waterloo · Full‑Stack · DataOps · Infra · ML
I design reliable systems that move fast, scale quietly, and get smarter over time.
Improving DevOps workflows, shipping full-stack tools, and making data pipelines robust and observable.Software & QA Engineer @ iotum
May–Aug 2025 · React SDKs · Mocha · Selenium · GitHub Actions
• Built automated test infra → cut QA cycles by 50%
• Created onboarding widgets that improved dev integration success by 3×
Data Engineering Intern @ Cineplex
Jan–Apr 2024 · Azure · SQL · Power BI · Python
• Validated 10 TB+ across distributed systems
• Automated anomaly detection + BI dashboards (70% faster reports)
• Boosted ML model accuracy by 15% through pipeline tuning
SysAdmin Intern @ Alterra / Blue Mountain
May–Sep 2023 · Power BI · MSSQL · Systems Optimization
• Re-architected property management flows → 20% faster check-ins
• Increased upsell revenue by 15% using BI insights
Languages: C, C++, Python, JavaScript, TypeScript, Java, SQL, Kotlin, R
Frameworks: React, Node.js, Django, Spring Boot, .NET, Flutter
Infra / Tools: Docker, Azure, AWS, Selenium, JUnit, GitLab CI/CD, Power BI, VMWare Stack: MongoDB · Express · React · Node · Redux · Docker
A containerized e‑commerce platform with auth, RBAC, and live checkout. CI‑enabled via GitHub Actions. Cut development iteration cycles by 30%.
Stack: Power BI · SQL · Python · Azure Data Lake
Unified multiple upstream box office feeds. Created real-time dashboards and anomaly tracking logic. Empowered non-technical teams with self-serve insights.
Stack: scikit-learn · pandas · Azure Pipelines
Cleaned & normalized datasets, added validation gates, and tuned the prediction model → improved accuracy by 15% and runtime by 25%.
- Rewrote legacy ETLs → 5× faster
- Built MIPS backend for a toy compiler
- CLI tools to reduce onboarding time
- Visual regression testing via CI/CD
📧 [email protected]
🔗 https://www.linkedin.com/in/anaybaid/
💾 https://anaybaid7.github.io/
git commit -m "Clean abstractions. Real impact."