Software Engineer

5/2017 – 8/2018

Building predictive ML/DL applications from massive amounts of data for the hospitality sector. I had the generous task of taking the lead in implementing the system promoted in the video below. For this specifically, a combination of LSTM networks and probabilistic models was used. Python made up the models and backend, while a simple Angular app was written for the purpose of this video. For simple deployment, we containerized this application.

Other than that I had a blast crawling major data aggregators, doing structured text extraction and taking the dev team lead in co-op with a gifted colleague. Getting new team members started was always an amazing experience for me.

Maschinelles Lernen, Scrum, Docker, Python, Angular, Vue.Js

8/2016 – 4/2017

Development of hardware and software solutions for hospitality firms. Working with an amazing team and focusing on time to market, I learned how to develop hardware/networking based products.

Here, I took the technical lead in an Apple TV based streaming solution, that is now used by hotels across the EU. For this we needed to enroll thousands of Apple TVs into an MDM system and write a streaming solution to support this TV infrastructure.

In another project, I wrote the code that took the Rewe supermarkets in Germany online, enabling them to offer free WiFi to their customers.

DevOps (allg.), Maschinelles Lernen, Docker, Linux Entwicklung, Python, JavaScript, PHP

9/2015 – 7/2016

Doing IT groundwork and keeping laptops and servers running for our 3000 colleagues. Here, I learned a lot about rock-solid IT environments that enable everyone to work and collaborate effectively.

DevOps (allg.)