Jesper Lindberg
About Jesper Lindberg
Jesper Lindberg is a Systemingenjör at Saab, where he has worked since 2020. He has a background in statistics, machine learning, and programming, with previous roles at companies such as Carlsberg Group and HKScan Sweden AB.
Work at Saab
Jesper Lindberg currently holds the position of Systemingenjör at Saab, where he has been employed since 2020 in Linköping, Östergötland, Sverige. His role involves developing simulation technologies, focusing on the integration of various components to ensure they function cohesively. Prior to this position, he worked at Saab Aerostructures AB as Sammanbyggnadsmontör from 2013 to 2020, accumulating seven years of experience in the aerospace sector. He also completed a Master Thesis Project at Saab in 2020, which lasted for five months.
Education and Expertise
Jesper Lindberg has a strong educational background in statistics and machine learning. He studied at Linköpings universitet, where he earned a Filosofie masterexamen (fil.mag.) from 2018 to 2020. Additionally, he studied Systemutveckling at Högskolan Dalarna from 2015 to 2018. He also spent 11 months at 江西财经大学, focusing on Datorspel och programmering in 2016. His academic pursuits reflect his keen interest in programming, data analysis, and artificial intelligence.
Background
Jesper Lindberg has a diverse work history that includes various roles across different companies. He worked at HKScan Sweden AB as Scharkarbetare from 2010 to 2012 and held multiple positions there, including a brief stint in 2011. He also worked at Carlsberg Group as Processoperatör for two months in 2017. His experience at Clockwork Bemanning & Rekrytering AB as Behovsanställd lasted from 2015 to 2017. This varied background has contributed to his comprehensive skill set.
Achievements
Throughout his career, Jesper Lindberg has consistently demonstrated a commitment to understanding complex systems and technologies. His work on developing simulation technologies at Saab showcases his ability to integrate components effectively. His academic achievements in statistics and machine learning highlight his focus on data-driven decision-making and predictive modeling. Jesper's curiosity and interest in problem-solving have been key drivers of his professional growth.