Kubernetes
,Terraform
,Docker
,AWS
andPython
. DevOps Engineer at General Dynamics Mission Systems–Canada, incoming DevOps at SOTI.At a glance
Featured
September 2025 - Present
Ottawa, Ontario
• Architected a centralized CI/CD observability platform on Grafana and Loki, aggregating pipeline telemetry from 100+ GitLab repositories to cut failure-investigation time across teams.
• Built real-time CI telemetry pipelines in Python against the GitLab API, running ~96 scheduled executions per day and streaming structured logs into centralized logging infrastructure.
• Engineered pipeline flakiness detection by correlating repeated runs per commit SHA, and layered AI-driven diagnostics on top for log summarization, failure classification, and root-cause analysis.
• Drove adoption of GitLab merge queues and CI gating policies across 50+ repositories, keeping shared branches stable under concurrent development.
• Automate platform infrastructure with Go, Terraform, Ansible, and VMware vSphere, including scheduled enforcement of VM resource-allocation policies.
DevOps Engineer
May 2025 - September 2025
Toronto, Ontario
• Automated build, test, and deployment workflows with GitHub Actions CI/CD pipelines.
• Set up weekly dependency-audit workflows that improved system stability and reduced security vulnerabilities.
• Containerized applications with Docker for consistent environments from development through production.
• Supported secure, scalable infrastructure with Node.js, Python, REST APIs, and OWASP practices.
Featured
Full-stack AI assistant for Alzheimer's support — facial recognition, object detection, and NLP for real-time identification and guidance. HackHive 2025 winning project.
Go-based observability system for AI workloads — model drift, latency, and system health with 92% drift-detection accuracy, 30% faster deployments, and 70% faster incident response.
AI-powered study tool that converts lecture videos into organized, searchable notes using multithreaded transcription, with flashcard generation and AI chat support.
HackHive 2024 winning project — containerized computer vision app on Azure that analyzes photos to identify recyclable objects using OpenCV and Azure Computer Vision.
About
I'm a DevOps engineer focused on CI/CD automation, cloud infrastructure, and observability — building deployment pipelines, scalable cloud systems, and platform tooling that improve engineering efficiency and release stability. Computer Science student at Ontario Tech University (expected 2028), two-time HackHive hackathon winner, AZ-400 certified with Security+ in training.
Skills
MoeHamzaA's coding journey over the past year
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