Jedrzej Biedrzycki

• Research in field of machine learning and classifier integration. • Technological stack: scala (spark), java (deeplearning4j) and python (keras, scikit-learn, pandas, numpy). • Published multiple articles covering the topic of classifier integration in geometrical space. • Prepared and conducted a course on system theory.

• Worked on the project on classifier integration in geometrical space financed by National Science Center grant. • Main technological stack: scala (spark), python (scikit-learn).

Developed data-intensive solution for immobility industry - feature implementation and bugfixing: • Primarily using java (spring-boot, hibernate), angular, postgres. Proposed and employed gatling for performance tests. • Security champion. Spreaker at meetups. • Designed and implemented a machine learning side project - system for parsing, analysis and classification of patent applications. • Communicated in German with client and other teammates.

• Implemented features and bugfixes in an enterprise application in financial field. • Main technological stack: J2EE, maven, Oracle database, IBM DB2, powermock, easymock. • Introduced code quality tools: sonarqube, jacoco, cobertura. • Communicated in german with teammates.

• Implemented features and bugfixes in an enterprise application in financial field. • Main technological stack: J2EE, maven, Oracle database, IBM DB2, powermock, easymock. • Communicated in german with teammates.

• Worked on the project on classifier integration in geometrical space financed by National Science Center grant. • Prepared and conducted a course on system theory.

• Average grade: 5.06. • Finalist of the German Language Olympiad for the Students of Technical Universities. • Got DAAD scholarship for the intensive German course on Humboldt Winter and Summer University.

• Finalist (2014) and winner (twice: 2016, 2017 - 1. place) of the National Mathematical Competition Continuum, Finalist of the German Language Olympiad. • Prizewinner of the Competition for the best graduate of the Faculty of Fundamental Problems of Technology. • Grade: 4.95.