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Cloud / DevOps Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agent-harness
June 1, 2026 – Present
A verification harness for AI coding agents working with cloud-native systems. Terraform + ephemeral EKS + OPA + replay traffic.
View Projectllm-iac-systematic-review
June 1, 2026 – Present
Replication package: a mixed-methods study of LLM-assisted infrastructure as code (IaC) generation, evaluation, and security. Archived at Zenodo (concept DOI 10.5281/zenodo.20450830).
View Projecteks-auto-mode-migration
March 23, 2026 – Present
Terraform configuration for migrating an existing EKS cluster to Auto Mode
View Projectchaos-benchmark
February 22, 2026 – Present
Reproducibility package: ML for Chaos Engineering benchmark (Chaos Mesh vs LitmusChaos on DeathStarBench)
View Projectzero-downtime-db-migration
December 4, 2025 – December 4, 2025
Zero-downtime PostgreSQL to Aurora migration framework with AWS DMS, Terraform, and automated validation
View Projectdevops-experiment
December 3, 2025 – December 4, 2025
devops-experiment — GitHub repository
View Projectminikube-wp
December 27, 2021 – December 27, 2021
Wordpress deployment on minikube cluster
View ProjectWeather-forecast-openweather
December 27, 2021 – December 11, 2025
Forecasting weather using openweathermap API with PHP
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and heavily focused on backend, DevOps, and infrastructure-as-code (IaC) topics, such as Terraform, Docker, Kubernetes, and AI agent verification. While there is some exposure to frontend technologies (TypeScript, CSS, JavaScript) in one project, the overall portfolio does not strongly align with a dedicated 'Frontend Developer' role. The diversity of technologies used across various infrastructure-focused projects suggests a broad technical curiosity, but a potential mismatch with the specific frontend focus of the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes provided.