Help & Supportcareers@gravityer.com
Ingeniero civil en computación UC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
wardenhub
March 27, 2026 – Present
Modular open-source security auditing for homelabs. Periodic checks for Proxmox, Docker, LXC, and Linux hosts — metrics via Prometheus, dashboards in Grafana.
View Projectopencode-ask
March 25, 2026 – Present
CLI tool for querying opencode server from the terminal
View Projectnewtab-hub
March 19, 2026 – Present
A keyboard-first new tab dashboard for Chromium browsers — 50+ widgets, no build step, no cloud.
View Projectaurora-assets-electron
November 23, 2024 – February 17, 2025
A Cross-Platform Alternative for AuroraAssetsEditor made with Electron
View ProjectIpre-sports-results
April 9, 2024 – June 24, 2024
Investigación en pregrado (Ipre) de deep learning aplicado a la predicción de resultados deportivo
View Projectkeyboard-joystick
November 12, 2023 – November 12, 2023
A FOSS alternative to GMK keyboard joystick
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards personal, open-source projects across a wide range of technologies. This suggests a self-starter with a passion for learning and building. However, the projects are predominantly personal and lack explicit team collaboration or large-scale system involvement, which might indicate a preference for individual contributions. The target role of 'Data Scientist' aligns with the 'Ipre-sports-results' project, but the majority of other projects are not directly related to data science, suggesting a broad technical interest rather than a focused career path in data science. The lack of professional experience makes it difficult to assess cultural fit within a structured organizational environment.
Soft Skills & Operational Fit
The candidate's project portfolio, while diverse, does not provide sufficient information to assess soft skills or operational fit. The absence of work experience or detailed project descriptions makes it difficult to infer collaboration, problem-solving, or communication styles in a professional setting.