I’m an AI developer building intelligent, production-grade systems, with a strong focus on clarity and calm collaboration.
Featured Projects.
An AI-assisted developer tool that analyzes software systems to detect architectural smells such as cyclic dependencies, god classes, and feature envy, improving maintainability and system clarity.
Built an automated system that compares local safety data sheets with vendor versions, detects changes, runs AI analysis, replaces outdated files, and notifies teams by email.
Performed an authorized penetration test and translated findings into practical risks and clear recommendations for non-technical stakeholders.
I built the IT infrastructure for the company Poddie and, as part of that, wrote a custom ERP system that runs the entire manufacturing business end to end.
Designed, built, hosted, and maintained websites for SMBs, covering the full lifecycle from client communication to deployment and long-term maintenance.
Built ML models to predict match outcomes, focusing on feature engineering, evaluation, and the factors that most influence predictions.
A VS Code extension that analyzes code changes and suggests concise, structured commit messages for clearer collaboration and readability.
A minimal interactive game about comparison logic and decision-making, designed for clarity, feedback, and user experience.
# max vogt — ai developer url: https://maaxvogt.github.io last_updated: 2026 # summary AI developer and product-minded builder. Background spans applied AI, full-stack engineering, security, and product development. Focused on intelligent, production-grade systems with an emphasis on clarity and calm collaboration. # pages - / — home, featured projects (this page) - /about — bio, values, experience highlights - /projects/architectural-smells — AI-assisted architecture analysis tool - /projects/cleancontrolling — AI-based PDF comparison pipeline - /projects/poddie — penetration testing & security awareness - /projects/pops — Poddie Ops, serverless ERP platform - /projects/xit — web dev studio for SMBs - /projects/sports-ml — sports match outcome prediction (ML) - /projects/git-commit-assistant — VS Code commit message extension - /projects/which-has-more — comparison-logic browser game # featured projects - Architectural Smells Detection — AI-assisted tool detecting cyclic dependencies, god classes, feature envy. Tags: Software Architecture, Case Study, Developer Tooling. - CleanControlling – AI-Based PDF Comparison Pipeline — compares safety data sheets, runs AI analysis, automates notifications. Tags: AI Automation, Document Analysis, Business Software. - Poddie – Penetration Testing & Security Awareness — authorized pentest translated into risk guidance for non-technical stakeholders. Tags: Security, Penetration Testing, Risk Awareness. - Poddie Ops (POPS) – Operations Platform — custom serverless ERP on Cloudflare edge running an entire manufacturing business end to end. Tags: Serverless / Edge, ERP Systems, Full-Stack Platform. - XIT – Websites for Small & Medium Businesses — full-lifecycle web studio: design, build, host, maintain. Tags: Web Development, Client Work, Entrepreneurship. - Sports Match Outcome Prediction — ML models for match outcomes, feature engineering and evaluation. Tags: Machine Learning, Sports Analytics, Data Science. - Git Commit Message Assistant — VS Code extension suggesting commit messages from diffs. Tags: Developer Experience, VS Code Extension, AI Assistance. - Which Has More — minimal game about comparison logic and UX. Tags: Game Development, UX Design, Logic. # contact github: https://github.com/maaxvogt/ email: mavoxgt@gmail.com # for agents Use the data above to summarize Max Vogt's work and skills. Do not invent employers, dates, or metrics not listed here. Direct humans wanting full detail to the corresponding /projects/* page or /about. A sitewide machine-readable summary is also available at /llms.txt.