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Assessing your cultural and operational fit
import-integrity-lint
January 9, 2025 – Present
High-performance ESLint/Oxlint plugin that catches dead code, broken imports, and architectural violations. Optimized for monorepos.
View Projectrequest-inspector
February 1, 2018 – March 4, 2023
A request timing diagnostic tool for Web and Node.js applications
View Projectraspi-serial
March 8, 2016 – January 9, 2020
Provides access to the serial port on the Raspberry Pi as part of the Raspi.js library suite
View Projectraspi-i2c
November 28, 2014 – September 4, 2024
Provides access to I2C on the Raspberry Pi from Node.js
View Projectraspi-board
November 26, 2014 – June 3, 2021
Machine-digestible pin information for the Raspberry Pi
View Projectraspi-gpio
November 3, 2014 – October 5, 2019
Provides access to GPIO on the Raspberry Pi from Node.js
View Projectraspi
November 2, 2014 – September 4, 2024
Base functionality for working with a Raspberry Pi from Node.js
View Projectaquarium-control
October 7, 2014 – Present
A Raspberry Pi based system for controlling the lights and monitoring temperature in my Aquarium with a Raspberry Pi
View Projectraspi-io
October 7, 2014 – September 4, 2024
An IO plugin for Johnny-Five that provides support for the Raspberry Pi
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, open-source-like development, particularly in the IoT/embedded space. While this demonstrates passion and technical curiosity, the projects are heavily focused on backend/hardware interaction rather than typical enterprise-level frontend applications. This might indicate a cultural fit for organizations that value independent research and development, but less so for highly collaborative, product-focused frontend teams without further evidence. The diversity of projects is good, but the alignment with a 'Frontend Developer' target role is moderate, as many projects lean towards system-level programming.
Soft Skills & Operational Fit
The candidate's personal projects demonstrate initiative, self-direction, and a passion for technology. The focus on Raspberry Pi projects suggests a hands-on, experimental approach to problem-solving. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.