Help & Supportcareers@gravityer.com
https://www.linkedin.com/in/brennhill/
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tax-engine
June 8, 2026 – Present
Auditable 2025 Germany/U.S. cross-border personal income tax engine. AGPL-3.0.
View Projectbuff-er
March 28, 2026 – Present
Get buff while you buffer. Exercise nudges during AI wait times.
View ProjectUpfront
March 22, 2026 – Present
Spec quality measurement — coverage, quality scoring, and effectiveness tracking
View ProjectChange-Ledger
March 22, 2026 – Present
Cost per accepted change — the delivery metric no commercial tool computes
View Projectsloppy-joe
March 21, 2026 – Present
Shields against supply-chain, slopsquatting, and typosquatting attacks from dependencies and code.
View ProjectDelivery-Gap-Toolkit
March 20, 2026 – Present
Companion repo for the book: "The Delivery Gap"
View Projectglobal-chat-control
February 28, 2026 – Present
A one-stop solution for end to end control of your AI swarm from anywhere.
View ProjectKaboom-Browser-AI-Devtools-MCP
January 23, 2026 – Present
Kaboom AI DevTools — Browser DevTools for AI coding assistants via MCP
View ProjectLeading-Engineering-with-AI
September 22, 2022 – Present
My software and leadership principles
View ProjectCultural Fit Analysis
The candidate's personal projects cover a wide range of topics, from AI tools to tax engines and security, indicating a broad interest and a proactive approach to learning and development. The inclusion of a Swift project ('buff-er') aligns with the target role of iOS Developer. The diversity of projects suggests adaptability and a willingness to explore different technical areas, which can be a positive cultural fit for dynamic environments. However, the lack of team-based projects or explicit collaboration descriptions makes it hard to fully assess cultural fit in a collaborative team setting.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an interest in problem-solving and creating practical tools. The 'Leading-Engineering-with-AI' project implies an interest in leadership and engineering principles. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.