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Berlin, Germany

Machine Learning & Systems Engineer

From scientific research to production systems that move the business — machine learning, software, data infrastructure, and the operational platforms that tie them together.

What I do

I sit at the intersection of machine learning, software, systems, 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.

Software & Backend Systems

Backend services and REST APIs (Quarkus, Laravel, PostgreSQL, Supabase, Keycloak), React front-ends, ERP integrations, and internal platforms — the production software real businesses run on.

Cloud & Infrastructure

AWS, Docker, and Cloudflare (Pages, Workers, Durable Objects) — repeatable, standardized environments and edge deployment 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 end-to-end?

I build production systems that create direct commercial impact — from ML and forecasting to the software, ERP integrations, and infrastructure around them. Let's talk.