
Mag. Pawel Sawicki
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Pawel Sawicki
- Current 8 years and 4 months, since Feb 2018
Technical Project Manager
VALEO Product Line Valeo peiker Telematics
• Contact and cooperation with customers • Budget controlling in cooperation with a Project Manager • Organization of workshops and meetings with customers and suppliers • Process tracking • Resource planning • Quality management in the development phase • Moderation of the development team • Reporting to the management
- 1 year and 9 months, May 2016 - Jan 2018
Division Leader / Project Leader
EBZ Gruppe
• Managing Programmers • Leading and motivating team members • Contact and cooperation with Customer and other Division Leaders • Realization of assigned projects • Research and employment
- 7 months, Oct 2015 - Apr 2016
Developer of automation systems
EBZ Gruppe
• PLC Programming • SCADA • Production support • Provide proper documentation
- 2 years, Nov 2013 - Oct 2015
PLC Programmer / Team Leader
KBA Automatic
•Delegate and coordinate work tasks •Project scheduling •Monitoring and reporting project progresses •Lead and motivate team members •Contact and cooperation with customer and other leaders •Develop and design PLC programs (offline/online) •Develop HMI •Develop real-time control system software •Start-up of new production lines •Production Support •Debug and commission PLC programs •Provide project documentation •Provide testing of PLC programs completeness •Provide training for line keepers
Ausbildung von Pawel Sawicki
- 11 months, Sep 2012 - Jul 2013
Automotive engineering
Universidad de Málaga
- 1 year and 8 months, Feb 2012 - Sep 2013
Automotive engineering
Wroclaw University of Science and Technology
Thesis: System of communication between vehicle and environment in the First Polish Autonomous Vehicle.
- 4 years and 6 months, Sep 2007 - Feb 2012
Control Engineering and Robotics
Wroclaw University of Science and Technology
Thesis: Elaboration of a method of machining features recognition In B-Rep parts’ models using artificial neural networks
Sprachen
Polish
C2 (Verhandlungssicher / Muttersprachlich)
English
C1 (Fließend)
Portuguese
B1-B2 (Gute Kenntnisse)
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