
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ai-readiness-assessment
May 11, 2026 – Present
A self-contained Claude Code & GitHub Copilot plugin that assesses a team's AI readiness against the Agentic Habitat Maturity Model and the Sovereign Engineer framework, producing a gap-anchored maturity report.
View Projectai-literacy-superpowers
March 30, 2026 – Present
A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, and the three enforcement loops
View Projectengineering-agents
June 28, 2025 – July 10, 2025
Repo for all the example and sample code from the Engineering Agents blog
View Projectexperiment-catalog
September 4, 2019 – October 14, 2021
A public and open source chaos engineering experiment catalog.
View Projectchaoshub-archive
August 9, 2018 – November 24, 2020
[ARCHIVED] ChaosHub - Your Chaos Engineering Control Plane
View Projectlife-preserver-introductory-article-developer-magazine
October 16, 2013 – October 16, 2013
Introductory article on the Life Preserver approach and tool for Developer Magazine
View Projectsi-rabbitmq
October 6, 2009 – October 6, 2009
RabbitMQ integration with Spring Integration
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a broad range of interests, from AI literacy to chaos engineering and general software development. This diversity suggests an adaptable individual. However, the projects are predominantly personal and do not explicitly highlight team collaboration or open-source contributions in a team setting. The target role is 'Android Developer', and while Kotlin experience is present, direct Android-specific projects are not listed, which might indicate a gap in direct role alignment. The breadth of skills (Python, Shell, JavaScript, HTML, Vue, TypeScript, Java, Kotlin, Elm) suggests a willingness to learn and explore different technologies.
Soft Skills & Operational Fit
The candidate's project list suggests an interest in diverse technical areas, including AI, chaos engineering, and general software development. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling. The focus on personal projects indicates a self-starter, but collaboration experience is not evident.