Smiling person, father of two, husband, Senior Developer/Architect; in that exact order :smile: Go, compulsive reviewer, golangci-lint, typos seeker
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
homebrew-badgetizr
October 12, 2024 – Present
Badgetizr is a tool to allow custom badges automatically added and updated according the content of your pull request.
View Projectgo-safecast
September 5, 2024 – Present
Safe number conversion in Go: address gosec G115 and cwe-190 Integer Overflow or Wraparound
View Projectfuego
October 17, 2023 – Present
Golang Fuego - Web framework generating OpenAPI 3 spec from source code - Pluggable to existing Gin & Echo APIs
View Projectsttr
September 18, 2021 – December 25, 2025
cross-platform, cli app to perform various operations on string
View Projecttestify
October 16, 2012 – Present
A toolkit with common assertions and mocks that plays nicely with the standard library
View ProjectCultural Fit Analysis
The candidate's portfolio of personal projects showcases a strong passion for software development and open-source contributions. This aligns well with a culture that values initiative, continuous learning, and practical application of skills. The breadth of technologies used across projects (Go, Python, C++, Ruby, Shell, Docker) suggests a versatile individual who can adapt to different technical stacks. However, the target role is 'Data Scientist', and the projects are heavily skewed towards general software engineering, web frameworks, and CLI tools, with limited direct evidence of data science specific skills (e.g., machine learning, statistical modeling, data analysis libraries). This indicates a potential misalignment with the specific technical requirements of a Data Scientist role, though the underlying engineering skills are strong.
Soft Skills & Operational Fit
The candidate's extensive personal projects suggest strong self-motivation, problem-solving abilities, and a proactive approach to learning and development. The diversity of projects also indicates adaptability and a willingness to explore different technical domains. However, without formal work experience or psychometric test results, it is difficult to assess stress handling, team collaboration, or specific work attitude.