Mateusz Susik

After finishing my Master's degree in March I joined McKinsey where I am in charge of predictive data analysis. Applying supervised and unsupervised algorithms. Working with large datasets. Implementing solutions for various clients from various market branches.

Optimized and parallelized software for microscopy imaging processing. The code after my improvements is 100 times faster in a worst case scenario. MOSAIC group.

Lekseek is a product company with about 40 employee. The company offers various products for the healthcare industry. I was working on the software for doctor's office management in a technical team of about 6 engineers. Responsible for developing new features and maintaining legacy code in the Gabinet drWidget project. Developed web-browsers extensions for communication with native devices.

Full-time Internship at CERN - European Organisation for Nuclear Research. Implemented a machine learning algorithm (Beard) for author name disambiguation. Created an open-source library (python-orcid) for communication with the ORCID API and integrated it with the Inspire project. Maintained the legacy production version of Invenio and Inspire.

During my Bachelor's thesis I was working part-time for Suntech, a small software development company in Warsaw. Designed and implemented an algorithm for optimal running of fiber cables as a part of my bachelor thesis. Worked on the presentation layer - a single page web-application.

Internship at the Centre for-mathematical and Computational Modelling of Warsaw university. Worked on the Pyry3D project. Moved the code from Python to C++. Improved the complexity order of the algorithm. The algorithm after changes performed averagely 300 times faster giving the same output.