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Software engineer working with eBPF, XDP, Kubernetes and related technologies.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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Data Scientist
June 25, 2026 – Present
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Data Scientist
June 25, 2026 – Present
Contribfest-KubeCon-NA2025
October 28, 2025 – November 13, 2025
Contribfest-KubeCon-NA2025 — GitHub repository
View Projectegress-filtering-benchmark
August 21, 2020 – December 18, 2020
egress-filtering-benchmark — GitHub repository
View Projectinspektor-gadget
April 16, 2019 – Present
Inspektor Gadget is a set of tools and framework for data collection and system inspection on Kubernetes clusters and Linux hosts using eBPF
View Projectstage1-builder
January 17, 2017 – February 26, 2020
Build script for custom rkt stage1-kvm images
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on system-level programming, eBPF, and infrastructure tools (Inspektor Gadget, gobpf, iovisor-ovn). While these skills are highly technical, they lean more towards systems engineering and observability rather than traditional data science tasks like statistical modeling, machine learning, or data analysis. The project diversity is high within the systems domain but lacks explicit data science projects. The alignment with a 'Data Scientist' role is primarily based on stated job titles, not demonstrated project work in core data science areas. This suggests a potential mismatch in the expected day-to-day responsibilities of a typical Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.