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Berlin, Germany

Machine Learning Engineer & Applied Data Scientist

Building production-ready ML systems that transform operational data into measurable business impact.

What I do

I sit at the intersection of ML, data, backend, and business operations.

Machine Learning Engineering

End-to-end ML pipelines and production deployment — from feature engineering to live, monitored systems that make decisions in the loop.

Applied Data Science

Forecasting, optimization, and operational analytics that turn raw business data into measurable outcomes: less waste, better planning, more profit.

Backend & Systems

REST APIs, internal tooling, ERP integrations, and workflow automation — the production-grade plumbing that real businesses run on.

Cloud & Infrastructure

AWS deployment, Docker containerization, and repeatable pipelines — standardized environments that ship to production reliably.

Focus areas

Selected work

From ML systems to a playable game.

All projects →

Featured · Playable in your browser

Child of Anon

An original auto-scroll climber/runner built in TypeScript on Phaser 3 — combat, spells, mana, real pixel parallax, and online VS. Evidence of full-stack and game-dev range beyond the ML work, deployed as its own Cloudflare Pages app.

How I work

Have a problem worth solving with data?

I build systems that create direct commercial impact — forecasting, optimization, and the infrastructure around them. Let's talk.