
Data Engineer, author, former film colorist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
vhf-seattle
May 24, 2026 – Present
Listening to VHF frequencies from the balcony overlooking Elliott Bay
View Projectlaundry-done
May 18, 2026 – Present
ESP32 vibration detector for washer/dryer finish notifications, with a Dockerized Gotify relay.
View Projectmeeting-mute-button
May 7, 2026 – Present
A lo-fi arduino-powered button to toggle mute in online meetings
View Projectbluesky-image-reply-bot
September 15, 2025 – September 17, 2025
100% vibe-coded in Cursor
View Projectgenetics-map-app
July 21, 2025 – Present
Genetics Map App: React, TypeScript, OSM/Leaflet
View ProjectMovie-Clapper-Detector
September 12, 2022 – Present
A computer vision object detection project
View ProjectArduino-Subway-Clock
April 10, 2021 – November 21, 2024
Build your own ioT subway clock with Arduino!
View ProjectIs-the-Bryant-Park-Lawn-Open
July 11, 2019 – June 1, 2021
A single-serving website created with AWS CloudFormation templates; a stepping stone to TerraForm
View ProjectResponsive-LED-Hallway
May 5, 2019 – May 26, 2020
I wired up my apartment hallway with LED strips and motion sensors
View ProjectCultural Fit Analysis
The candidate exhibits a strong inclination towards personal, hobbyist projects, often involving hardware and IoT. While this demonstrates initiative and technical curiosity, the projects are primarily individual efforts and do not directly align with typical enterprise-level data science roles. The lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration skills. The project diversity is good, but the depth in core data science areas (e.g., machine learning algorithms, statistical modeling, big data platforms) is not explicitly demonstrated, which might impact cultural fit for a dedicated Data Scientist role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive, hands-on approach to problem-solving and a strong interest in building practical applications. The diversity of personal projects suggests curiosity and a self-starter mentality. 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.