Welcome to my blog about ML and data

My background and motivation for starting a blog about my personal experience and projects around data annotation and machine learning.

Around 2014 my interests in machine learning started to grow. Just the idea of teaching a machine to do certain things instead of hard coding it fascinated me. To feed my hunger for more information I took the ever-growing (the number of students was almost doubling every second year) lecture “machine learning” at ETH Zurich held by Prof. Buhmann. We started with statistics, regression, moved on to support vector machines, bagging, boosting, random forest and finally ended up talking about neural networks and their implications on the whole field.

During my professional work in the innovation lab at SIX Group as well as my spare time I continued to foster my skills and learn more about the mysteries of deep learning. You can read more about the various milestones in my other blog posts.

I’m currently working at Mirage, an ETH spin-off with the goal of making machine learning more accessible and reduce the headaches we face with data annotation. In this blog I will talk a lot about different products we built using deep learning. The various projects cover many aspects from detecting deep fakes to using image segmentation for Hollywood VFX studios.

After multiple less successful attempts in finding product market fit in ML products we succeeded with a filter to help companies find the most relevant data we call WhatToLabel.

You find more information about my coding projects on my GitHub. If you’re in Zurich and want to exchange about startups or machine learning don’t hesitate to contact me!