Karri Lehtiranta has a diverse work experience in the field of software design and team lead roles. They currently work at twoday Finland as a Software Designer and Team Lead since October 2022. Prior to that, they worked at Visma Consulting as a Software Designer and Team Lead from August 2021 to October 2022. They also worked at Visma Consulting from January 2019 to August 2021 as a Software Designer. Before that, they worked at OCTO3 Oy as a Software Designer from May 2018 to December 2018.
In addition to their software design experience, Karri has also worked as a Tech Support Engineer at Digital Foodie Ltd. in April 2017. They have also served as a Course Assistant at Aalto University School of Science and Technology from January 2017 to May 2017, where they helped and taught course students and guided and graded their projects. Karri also worked as a Research Assistant at Aalto University School of Science and Technology in June 2016 to August 2016.
Notably, Karri has experience in non-technical roles as well. They served as a Member of the Board at Paimion kirkkovaltuusto from January 2015 to December 2018. They also worked as IT-Support at Paimion Kaupunki in April 2014 to June 2014. Karri has also held positions in Suomen Nuorisovaltuustojen Liitto - Nuva ry. Varsinais-Suomen piiri ry as a Secretary from June 2013 to December 2013 and as a Member of the Board from January 2011 to May 2013.
Karri Lehtiranta's education history begins in 2011 when they attended Paimion Lukio, where they pursued studies in Mathematics, Physics, Chemistry, and Computer Science. Karri completed their undergraduate degree at this institution in 2014. Following this, from 2014 to 2015, they enrolled in the Finnish Defence Forces, specializing in Military Service as a Sergeant. Continuing their academic pursuits, Lehtiranta attended Aalto University from 2015 to 2018, earning a Bachelor of Science (B.Sc.) degree in Computer Science and Mathematics. Lastly, from 2018 to 2021, they pursued a Master of Science (M.Sc.) degree at Aalto University in the field of Big Data and Large-Scale Computing, with a specialization in Machine Learning.
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