Vanja Tesin

Staff Software Engineer at Gong

Vanja Tesin has a diverse work experience spanning over several companies and roles. Their most recent position is as a Staff Software Engineer at Gong since September 2022. Prior to that, they worked at Amazon as a Software Development Manager from December 2019 to September 2022.

Before joining Amazon, Vanja worked at Greentube Internet Entertainment Solutions GmbH, where they held multiple positions. From March 2019 to December 2019, they were a Team Lead Games Integration Development. Prior to that, they served as a Software Architect from January 2017 to December 2019.

They also have prior experience at Levi9, where they worked from August 2005 to December 2016. During their tenure, they held the roles of Department Manager from July 2013 to December 2016 and Senior Software Developer / Software Architect from August 2005 to December 2016.

Vanja also has experiences as an Owner at North36 from March 2011 to December 2016, a node.js developer at hothouselabs in 2014, a Software Architect at ACS Technologies in 2012, a Developer at Novalite in 2011, and a Developer at Enigmatry in 2011.

Their earliest recorded position was as a Senior Software Developer / Team Leader at Reacheverywhere from September 2007 to April 2008, where they were involved in J2ME development and served as a software architect for J2ME and .Net applications.

Vanja Tesin completed their Bachelor of Science degree in Computer Science from Univerzitet u Novom Sadu, where they studied from 1997 to 2001. Prior to that, they attended Nikola Tesla Zrenjanin from 1993 to 1997, where they pursued studies in Electrical and Electronics Engineering, although they did not obtain a degree from this institution.

In addition to their formal education, Vanja Tesin has obtained several certifications. They completed the "Concurrency in Go" certification from Coursera in January 2021. In February 2018, they obtained certifications in "Deep Learning Specialization," "Sequence Models," and "Convolutional Neural Networks" from Coursera. Additionally, in October 2017, they completed the certification for "Structuring Machine Learning Projects," and in September 2017, they completed certifications in "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" as well as "Neural Networks and Deep Learning," all from Coursera. Furthermore, in March 2011, they obtained the "Certified FPA training, NESMA standard" certification from NESMA.

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