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Software Engineer · Go / Python / TypeScript · AI-Native Enterprise Systems, Data Infrastructure & Developer Tools · Apache PMC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tessera
May 19, 2026 – Present
A miniature control plane. Schedules workloads across a fleet of nodes with a declarative reconciliation loop, control/data plane split, and an explicit workload state machine. Built with Rust and Dropshot.
View Projectairflow-steward
April 28, 2026 – Present
Agent-assisted maintainership and development framework for Apache projects — Triage and Drafting (agent-authored fixes with human review); Mentoring, Pairing (developer-side dev-cycle), and Auto-merge on the roadmap.
View Projecttabra
March 25, 2026 – Present
IDE-style terminal autocomplete powered by withfig specs. Tab. Complete. Ship.
View Projecthurl-vscode-toolkit
March 20, 2026 – Present
Complete Hurl HTTP testing toolkit for VS Code: syntax highlighting, run requests, response viewer, and IntelliSense for .hurl files
View Projectzellij-vscode-toolkit
March 20, 2026 – Present
Complete Zellij development toolkit for VS Code: IntelliSense, validation, color preview, and snippets for config and layout files
View Projecthtmx-vscode-toolkit
March 20, 2026 – Present
Complete HTMX development toolkit for VS Code: IntelliSense, hover docs, validation, diagnostics, and snippets for 20+ template languages
View Projectscope-guard
February 4, 2026 – Present
Stop AI scope creep. A Claude Code plugin that detects when your AI coding agent goes beyond what you asked for.
View Projectburr
January 29, 2024 – Present
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
View ProjectTop-AI-repos
October 23, 2023 – Present
🎖️🏆🏅 100 most popular open source AI projects 🌟 Star if you like it! 🌟
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal open-source projects, demonstrating initiative, passion for technology, and a strong inclination towards community contribution. The diversity of projects, while technically impressive, shows a broad interest rather than a focused alignment with a specific frontend ecosystem. While the candidate has strong frontend skills, the project diversity (e.g., Python, Rust, AI-related projects) suggests a broader interest beyond a pure frontend role, which might impact cultural fit for a highly specialized frontend team. The lack of team-based projects or professional experience makes it difficult to assess collaboration within a structured environment.
Soft Skills & Operational Fit
The candidate's project descriptions are clear and concise, indicating good written communication. The focus on developer tooling and open-source contributions suggests a collaborative and problem-solving mindset. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.