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OpenSky Network
Data Scientist
June 26, 2026 – Present
readsb-state-archive
May 24, 2026 – Present
ADS-B Hobbyist Aircraft State Archive using Bento and DuckDB.
View Projectdocker-readsb
May 20, 2026 – Present
Minimal readsb Docker image based of https://github.com/sdr-enthusiasts/docker-tar1090
View Projectdocker-jet1090
May 11, 2026 – Present
Docker container for Jet1090 https://github.com/xoolive/jet1090
View Projectk8s-ai-health-tool
March 24, 2026 – Present
AI-powered Kubernetes cluster health checker. SSHes into every node, collects an hour (or more) of high-signal logs from core system services, and streams an analysis through Claude Opus.
View Projectcharity-grantor-skill
March 15, 2026 – Present
NZ charity charity-finder packaged as a Claude CLI skill which queries the Charities Register and scores alignment with a target organisation.
View Projectscheduler
March 13, 2026 – Present
A Redis-backed job scheduler with HTTP API - stores recurring scrape jobs, promotes them when due, and serves them to workers via long-polling.
View ProjectOPDI
October 3, 2023 – Present
A pip-installable Python package for processing OpenSky Network aviation data through modular ETL pipelines.
View ProjectCultural Fit Analysis
The candidate's extensive list of personal projects, particularly those related to aviation data and AI, indicates a strong passion for technology and continuous learning. The current role as 'Data Scientist' at 'OpenSky Network' aligns well with the target role. However, the lack of diverse team-based projects or explicit collaboration experiences makes it difficult to fully assess cultural fit beyond individual drive. The experience level is listed as 0, which contradicts the current role, suggesting a potential data inconsistency or a very recent start in the role.
Soft Skills & Operational Fit
The candidate's personal projects demonstrate initiative and a self-starter mentality. The descriptions of projects like 'k8s-ai-health-tool' and 'charity-grantor-skill' suggest an ability to apply technical skills to solve practical problems. However, without formal assessment data (English Test, Psychometric Test, or completed technical tests), it is difficult to fully assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration skills.