Hi, I'm Georg, a London based Growth Hacker, Data Scientist, and Developer with 14 years of experience turning ideas into thriving businesses. Today, everyone claims to be a developer or data scientist as long as they have an AI prompt open. It's the same as reading a CV in perfect English, only to watch the candidate crumble in the interview. That's exactly what happens when you hire someone whose technical skills exist only inside a chat window. They need their AI prompt the way a junkie needs a needle, and that dependency is a liability that exposes your business to real risk. I have 14 years of hands on experience in data science, development, and performance marketing. No crutches. No copy paste from ChatGPT or Claude Code. Just the real skillset to actually move the needle when growing your business. Oh, I am fluent in English and German 😘
Built on knowledge and experience, not AI prompts
Every project I ship is grounded in 14+ years of real engineering and growth work. AI is a tool, not the solution. Large projects and serious businesses deserve better than copy paste code.
Read more about the serious risks of relying on AI without the knowledge to back it up →
A comprehensive deep dive into background job processing with Sidekiq and Redis (now Valkey). Why independent jobs are critical, how one failing job can bring down your entire system, and battle tested patterns from real production applications. Includes extensive code examples and hard won lessons.
A brutally honest account of what happens when your integration partners decide to let AI write their entire codebase. Two real projects, one in the US and one in the UK, have cost my clients over £35,000 in the past month alone. This is the story of why I built ai-code-detector and why the industry needs to wake up.
A brutally honest deep dive into why Ruby on Rails and Django absolutely demolish PHP and other legacy frameworks over time. Covering security, scalability, and most importantly the testing ecosystem that makes bug free releases actually possible. Featuring TDD, BDD, Minitest, RSpec, and Cucumber with real world examples.
A comprehensive deep dive into Cucumber and Behaviour Driven Development. Why I use it on every single project from the British Army to Volvo Group, how it serves as living documentation, and why your project is probably failing without it. Includes essential concepts, advanced techniques, and real world examples.
The average cart abandonment rate is 70%. Ecommerce returns cost US retailers $890 billion in 2024, with fashion return rates hitting 24-30%. AI reduces cart abandonment by 18% and size-related returns by 27%. This post shows how to build predictive models that spot drop-off patterns and sizing issues before they cost you money - with Python scripts for abandonment risk scoring and return prediction, plus the Solidus/Rails implementation that wires them into your checkout and product pages.
The dynamic pricing software market is projected to grow from $6.16 billion in 2025 to $41.43 billion by 2033, and 55% of retailers plan to implement AI pricing in 2026. Amazon changes prices 2.5 million times a day. You don't need to be Amazon. This post breaks down how ML-driven dynamic pricing actually works - price elasticity estimation, demand signals, competitor monitoring, and margin guardrails - with practical Solidus/Rails code and Python scripts you can run today.
