Senior Ruby on Rails engineer (7+ yrs, FinTech). Building llmtrim - a Rust proxy that cuts LLM bills ~66%. Backend + AI integration.
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llmtrim-swift
June 13, 2026 – Present
Swift package for llmtrim: compress LLM API requests to cut tokens, with no extra model calls
View Projectllmtrim
June 7, 2026 – Present
Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).
View Projectovh-http2sms
January 28, 2026 – Present
Production-ready Ruby gem for sending SMS via OVH's http2sms API with Rails integration.
View ProjectCultural Fit Analysis
The candidate's project portfolio, while technically diverse, is heavily focused on personal initiatives. The 'llmtrim' project, in particular, demonstrates a strong interest in performance optimization and API integration, which could align well with a team focused on high-quality, efficient mobile applications. The use of Swift for a personal project directly supports cultural fit for an iOS development role. However, the lack of team-based projects or professional experience makes it challenging to fully assess collaboration and team dynamics.
Soft Skills & Operational Fit
The candidate's personal projects suggest a proactive and self-driven individual. The 'llmtrim' project, involving multiple language bindings and distribution methods (Scoop, Homebrew), indicates an understanding of developer tooling and ecosystem integration. However, without specific psychometric test results or interview data, it is difficult to assess collaboration, stress handling, or other soft skills directly.