About Me
Table of Contents
When people talk listen completely. Don’t be thinking what you’re going to say. Most people never listen. Nor do they observe. You should be able to go into a room and when you come out know everything that you saw there and not only that. If that room gave you any feeling you should know exactly what it was that gave you that feeling.
— Ernest Hemingway
I work where technology and business meet. I turn complex matters into clear decisions. I listen, ask the necessary questions, and align goals to measurable outcomes. Requirements become prioritized backlogs, assumptions become testable hypotheses, and roadmaps become releases. I translate between domain language and engineering-precise, candid, pragmatic. Analysis is my tool; transparency is my style. I make data-informed decisions and refine them with feedback. I treat tension as a signal: I create shared mental models of processes, interfaces, and risks - and ensure teams share them. In the end, impact is what counts: that users understand, teams deliver reliably, and systems remain stable. For that, I bring structure, empathy, and a dash of dry humor.
💻 Tech Stack
These are technologies I am familar with (TBU):
- Please feel free to contact me for your projects.
Programming & Development
Languages: Rust, Go, JavaScript, TypeScript, C++, Python, R, Java, C#, PHP, Bash
Frameworks: React, Redux, Zustand, Flask, FastAPI, Express/Node.js
Desktop: Tauri, Qt (C++/QML), Electron (basic)
Web/SSG: Hugo (static sites), Markdown workflows
Build: CMake, Make, Cargo, npm/pnpm, Vite, Webpack
Patterns: Modular design, async/concurrency, API-first, event-driven (basics)
DevOps, CI/CD & Runtime
Containers: Docker, Docker Compose
CI/CD: GitHub Actions, GitLab CI (basic)
OS/CLI: Linux (Arch/Manjaro, Debian/Ubuntu), systemd, shell scripting
Web/Edge: Nginx, Traefik (basic reverse proxy)
Hosting: GitHub Pages, Netlify; simple VPS setups
Versioning: Git (GitHub/GitLab), conventional commits, trunk/PR workflows
Data & Analytics
Languages: Python (pandas, numpy), R (tidyverse)
BI: Power BI, SAP Analytics Cloud (SAC)
Process: Signavio; Process-Mining pipelines & KPI-Design
ETL: CSV/Parquet tooling, data cleaning, reproducible notebooks
ML/Stats: scikit-learn (basics), hypothesis testing
Database & Storage
SQL: PostgreSQL, SQLite, MySQL (basic)
NoSQL/Cache: Redis (caching), MongoDB (basic)
Files: JSON/TOML/YAML, Parquet, Arrow (basics)
ERP & Business Systems
ERP: SAP S/4HANA, BW/4HANA
Modules: MM, EWM, FI/CO
Tools: SAP Signavio, Cloud ALM
Focus: Business Intelligence, Process Optimization, Clean Core principles
Testing & Quality
Backend: pytest, unittest, Go test
Frontend: Jest, Testing Library
Lint/Format: ESLint, Prettier, Black, ruff, Taplo (TOML)
Security: Code review, dependency scanning (basic)
Docs & Collaboration
Docs: Markdown, Pandoc, LaTeX
PM/Agile: Kanban/Scrum, backlog grooming, issue templates
Communication: Architecture notes, ADRs, changelogs