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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rtx-ai-platform
May 15, 2026 – Present
GitOps-first Kubernetes platform for local AI workloads on NVIDIA RTX GPUs.
View Projectfunction-cli-expand
January 26, 2026 – Present
Crossplane Function to generate CliConfig resources.
View Projectfunction-eapi
January 12, 2026 – Present
Crossplane Function to generate resources for interacting with Arista EOS devices via JSON-RPC.
View Projectnetclab-xp
December 2, 2025 – Present
Crossplane Configuration Package providing abstract XRDs for managing network elements.
View Projectnetclab-chart
July 28, 2025 – Present
Helm chart to deploy lab routers, hosts and traffic/protocol generators.
View Projectnetclab
December 6, 2024 – Present
NETwork Containerized LAB - testbed for network tests with mix of VM and container images
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and focus heavily on infrastructure, network automation, and Kubernetes. While there is a 'mlops-lab' project, the overall portfolio leans more towards DevOps/Platform Engineering than core Data Science. This might indicate a potential mismatch with a pure Data Scientist role, though the MLOps exposure is a positive. The diversity of projects is good within the infrastructure domain, but less so for a Data Scientist.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on infrastructure, automation, and some exposure to MLOps, suggesting a structured and technical approach.