Help & Supportcareers@gravityer.com
Software
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Netflix
Data Scientist
June 23, 2026 – Present
tokview
May 28, 2026 – Present
See where your LLM tokens actually go — down to the individual tool call. A small, local, zero-config proxy + dashboard for token/cost tracking across Claude, OpenAI, Gemini.
View Projectheadroom-swift
March 24, 2026 – Present
Swift Package for Headroom — context compression for LLM applications
View Projectheadroom-zed
March 18, 2026 – Present
Zed extension for Headroom — context compression for AI agents
View Projectvitals
March 4, 2026 – Present
Codebase vital signs for Claude Code — finds hotspots, diagnoses root causes, ranks fixes by ROI
View Projectephemeral-ai
March 3, 2026 – Present
Self-healing AI workbench with warm Droplet pools on DigitalOcean
View Projectheadroom
January 7, 2026 – Present
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects, particularly those involving AI/LLM optimization and performance, demonstrate a strong passion for the field and a self-driven approach to learning and development. This aligns well with a culture that values innovation and continuous improvement. The diversity of technologies used (Python, Rust, TypeScript, Java, C++, Swift) indicates a broad technical curiosity. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to assess direct cultural fit for highly collaborative environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an ability to identify and address practical challenges in AI/LLM applications. The breadth of technologies used across personal projects suggests adaptability and a proactive learning attitude. However, without specific assessment data, it is difficult to evaluate communication clarity, teamwork, or stress handling directly.