I'm a machine learning specialist with a focus on deep learning, a software engineer with over 13 years of experience in building reliable, high-performing systems, and owner of Natural Vision UG, based in Berlin, Germany.
In the past, I've consulted and programmed for big clients such as Oracle and IKEA, and small.
I currently work with researchers at Oregon State University on improving software algorithms for detection and classification of marine mammals in underwater recordings.
For a company that uses artificial intelligence to build city guides, I've recently implemented a computer vision system that finds dogs and other curious things inside millions of photos from Instagram. Another app that my company Natural Vision is building lets you take a picture of a wild flower and use image recognition to tell you which species you're looking at.
I was the technical lead for the development of the official tourist website of Vienna, which is offered in 13 languages (plus sign languages), and is one of the highest traffic websites in Austria. I've also implemented most of the eea Management Tool, which is software that helps hundreds of municipalities in Europe improve their ecological footprint.
I'm a Kaggle Master, which means that I have competed quite successfully in a number of Kaggle's predictive analytics competitions; with problems ranging from computer vision, audio recognition, to text classification.
Being a big fan of agile software development methodology, I love to pair program and like to write my tests first. I'm an expert of the Python programming language, and a Linux aficionado. I've also created a few open source projects, most notably Kotti, a complete WCMS.
I'm open to being contacted if you have an interesting machine learning problem to solve; one that ideally does not involve product recommendation or advertisement.