Hi! Writing a summary about yourself is always weird and awkward, so I'll try to keep it simple straight to the point.
I am a data guy. Currently, I am working as some sort of Big Data and Machine Learning Engineer at LOVOO, a dating company based in Germany. What my title means is that I write software that uses data and machine learning. In other words, I have experience working with all those known machine learning and big data tools, as well as the knowledge of writing software.
My areas of preferences include working on the complete pipeline of the machine learning system - prototyping, feature selection and engineering and training - with the purpose of making it ready for production. Besides this, I enjoy working with unsupervised learning, object detection, and data analytics.
Lastly and very important, I enjoy (way too much) speaking in public about what I do at work, and about my own personal projects. So please, invite me :)
Summary of summary for those looking for a list of skills, stack and tools I am experienced with: Golang, Python, R, Machine Learning (and many of that fancy software involved with it), Data Analysis, Data Processing, Hadoop, Spark, SQL, NoSQL (it's a bit rusty) Google Cloud (BigQuery, PubSub, Container Engine,...) , Docker, Kubernetes, Stream Processing (Kafka), Monitoring (Grafana, Prometheus), and a couple of others.
Also, I am into photography, bouldering, and I am trying to write a book based on all the data notes and excerpts I have written in the last couple of year, but it is way more difficult than I expected.