​Lukas MALIK

Lukas MALIK

I did a master's degree in Artificial Intelligence. 
It is part of the two years EIT Data Science Program. I did the first year at the TU Eindhoven and the second year at Paris-Saclay University, although I did all the courses remote in the second year. I was already working in the domain of Data Science before starting this 2 year Program. Doing an internship at a research institute (Complexity Science Hub in Vienna) and an internship in IT consulting (at Capgemini in Vienna). I wanted to do the Master Program to deepen my knowledge on Machine Learning and also gain more confidence.

"State of the art content"

The course content can be considered state of the art or "bleeding edge". With leading industry experts and high profile academic researchers. While the first year of the data science program at TU Eindhoven was focused on application of basic concepts, Paris-Saclay was a lot more research oriented. In the program we read a lot of papers and had to understand theoretical concepts. We were expected to implement algorithms from scratch following descriptions in research papers. The AI program also offered a specialized track in Natural Language Processing. This was really useful as I wrote my master thesis on "Detection of self-labeled emotions from social media texts". The thesis and also my day to day work that I do now relies mostly on natural language processing techniques.

"This training is the right choice" 

Right now I am working as an AI Engineer at Xayn. Xayn is building a privacy preserving discovery and search engine. We train and use multilingual transformer models to find articles that might interest you. We compress the models such that they can fit on a mobile device. This guarantees that all your searches remain on your phone.

I think the AI program at Paris-Saclay is definitely the right choice if you want to get a deep understanding how state of the art machine learning works. You will get exposed to trends in the field and learn to apply these techniques to your own projects. It prepares you for a research career at universities or in the industry and sets you apart from other applicants.