
Whitney is a kind and welcoming human who enjoys understanding and using tools in the cloud native landscape.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Datadog
Data Scientist
June 24, 2026 – Present
spinybacked-orbweaver
March 2, 2026 – Present
AI-powered telemetry instrumentation agent for JavaScript applications, using OpenTelemetry Weaver, Semantic Conventions, and the Instrumentation Score specification.
View Projectscaling-on-satisfaction
February 27, 2026 – Present
Demo apps for 'Scaling on Satisfaction: Automated Rollouts Driven by User Feedback' — KubeCon EU 2026, Platform Engineering Day
View Projectclaude-config
February 11, 2026 – Present
Shared Claude Code testing infrastructure, safety config, and developer tooling
View Projectcommit-story-v2
January 29, 2026 – Present
Commit Story v2: AI-powered engineering journal
View Projectcluster-whisperer
January 13, 2026 – Present
AI agent that answers natural language questions about your Kubernetes cluster
View ProjectKubeHound-Demo
November 5, 2025 – Present
Streamlined KubeHound demo environment using Kind and Kubernetes Goat for security analysis presentations
View Projectcommit-story
August 14, 2025 – Present
Commit Story is designed to automatically generate engineering journal entries within a code repository. The journal captures technical progress and decision-making context.
View Projectmcp-commit-story
May 16, 2025 – August 4, 2025
mcp-commit-story is a Model Context Protocol (MCP) server designed to capture and generate engineering journal entries within a code repository. The journal captures technical progress, decision-making context, and emotional tone, with the goal of producing content that can later be reused for storytelling (e.g., blog posts, conference talks).
View Projectrainbows
March 12, 2022 – August 30, 2022
This is a very important, business-critical application.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and demonstrate a strong inclination towards innovation, AI, and developer tooling. This suggests a proactive and self-driven individual. The diversity of technologies used (Go, Python, JavaScript, Shell, CUE, HTML, CSS, Dockerfile) indicates adaptability and a willingness to explore different domains. The current role as 'Data Scientist' at Datadog aligns directly with the target role, suggesting a good fit for a data-centric environment. However, the projects lean more towards MLOps/DevOps and application development rather than core data science methodologies (e.g., statistical modeling, advanced analytics, data visualization, big data processing).
Soft Skills & Operational Fit
The candidate's project descriptions suggest an interest in problem-solving and automation. However, without psychometric test results or interview data, it is not possible to assess soft skills, work attitude, stress handling, or team collaboration.