
Software 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
pebble-wf-agent-skill
January 3, 2026 – Present
Agent Skills for making pebble watchfaces
View Projecta11y-mcp
April 8, 2025 – Present
An MCP (Model Context Protocol) server for performing accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Amp/Cline/Cursor/GH Copilot) and let them fix a11y issues for you!
View Projectlighthouse-mcp
April 7, 2025 – Present
Allows AI assistants such as Amp/Cline/Cursor/Claude Code/Codex/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!
View Projectphonepi-mcp
March 28, 2025 – April 15, 2025
PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and search, clipboard sharing, notifications, battery status checks, and remote device controls.
View ProjectAirCodum
September 30, 2024 – Present
Control VS Code using your smartphone! Support for sending files, images and more. Take AI assistance when you need it.
View ProjectSensorStreamServer
June 27, 2021 – Present
Companion servers for Sensor Stream App. Stream sensor data, audio and images from your phone to an open source server running on your PC/Raspberry Pi in real-time over your local network.
View ProjectAlexaSkillsResources
December 3, 2017 – December 21, 2019
Contains a list of learning Resources, frameworks, templates, tools, developer perks and offers for developing Amazon Alexa skills.
View ProjectPhonePi_SampleServer
May 17, 2017 – August 2, 2024
Companion servers in Node and Python for the PhonePi Sensor Streamer apps.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, experimental projects, many involving AI integration and device control. While this demonstrates initiative and a passion for technology, the projects are not directly aligned with typical enterprise-level frontend development, which might indicate a different cultural fit or preference for highly innovative, research-oriented environments. The lack of team-based projects or professional experience makes it difficult to assess collaboration fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to work independently and a strong interest in problem-solving.