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Software Engineer 💻 Co-founder of @tandem-dating
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Assessing your cultural and operational fit
speakeasy-api
Frontend Developer
June 23, 2026 – Present
agentkit
March 17, 2026 – Present
Rust toolkit for building LLM agent applications, e.g.: coding agents, assistant CLIs and multi-agent tools.
View Projectarctic-oauth
February 11, 2026 – Present
Rust-first OAuth 2.0 authorization-code client that ports the ergonomics of the Arctic (https://github.com/pilcrowonpaper/arctic) project to strongly typed, async Rust.
View Projectgranary
January 12, 2026 – Present
A CLI context hub for agentic work. Used by the Speakeasy engineering team
View Projectrust-helmet
December 30, 2023 – Present
HTTP security headers middleware for multiple Rust web frameworks
View Projectuse-formspree
January 30, 2021 – Present
React hook to simplify creating forms with FormSpree.
View Projectuse-element-dimensions
June 20, 2019 – Present
React Hook to figure out DOM Element dimensions with updates
View Projectgin-helmet
November 7, 2017 – June 28, 2025
HTTP Security middleware for GoLang web frameworks: Gin, Echo, Beego, Zero, Fiber, inspired by Helmet for Express
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards backend and systems programming (Rust, Go, Shell, Powershell) with a strong emphasis on security and developer tooling. While there are a few React-related projects, the overall breadth of technologies and project types suggests a stronger inclination towards backend/full-stack or systems development rather than a dedicated frontend role. The current role as 'Frontend Developer' at 'speakeasy-api' is noted, but the personal projects do not strongly reinforce a primary frontend focus. This might indicate a potential mismatch with a pure frontend developer role, or a candidate with broader interests.
Soft Skills & Operational Fit
The candidate's personal projects demonstrate a proactive and self-driven approach to development. The nature of the projects (e.g., security middleware, CLI tools, LLM agent toolkits) suggests an interest in foundational and utility-oriented development, which could align well with roles requiring robust tooling or infrastructure contributions. However, without psychometric test results, specific soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be assessed.