
Adi Prijic
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Adi Prijic
- Bis heute 3 Jahre und 11 Monate, seit Aug. 2021
Android Developer
Rimac Technology
- 1 Jahr und 4 Monate, Mai 2020 - Aug. 2021
Android Developer
Ministry of Programming
Android developer Contributed to the Naga application for forex trading using MVl architecture. Initiated project to replace MVl with Clean Architecture in order to create reusable components to reduce development time and improve efficiency to reorganize UI.
- 1 Jahr und 3 Monate, März 2019 - Mai 2020
Android Developer
WeTek
Android developer Team lead on IoT application project using ZigBee protocol for IoT related devices. Developed a background service application which acted as a hub for standalone applications that needed to communicate with IoT devices connected to Android TV STB.
- 6 Monate, Sep. 2018 - Feb. 2019
Android Developer
BPU Holdings
Android developer Collaborated with one other person on ZimGo mobile application using Emotional AI to process and present posts from major social networks. Familiarized myself with Kotlin, Clean Architecture and Unit testing while working on this project.
- 5 Monate, Apr. 2018 - Aug. 2018
Android Developer
WeTek
Android developer Conducted work on video content applications WeCast and WeTv for Android TV applications.
- 1 Jahr und 10 Monate, Juni 2016 - März 2018
Android Developer
AtlantBH
Android developer Contributed to the Teamer application which is used to manage sport teams. Worked on the StaffYourself project by creating numerous custom views and components in order to implement custom animations and optimize UI. Have been a mentor for two cycles of ABH Internship.
- 1 Jahr, Juli 2015 - Juni 2016
C++ Software Developer
BS Telecom Solutions
C++ and Java developer Furthered an ongoing project on license registration accuracy using OpenALPR for license plates from Bosnia-Herzegovina. Developed a Java app which was used to test our version of OpenALPR which could visualize live statistics while testing and sorting testing images by categories based on its accuracy to ease debugging issues. My work on this project managed to improve license plate recognition accuracy by 31.58%.
Ausbildung von Adi Prijic
- Bis heute 15 Jahre und 10 Monate, seit Sep. 2009
Computer Science
University of Sarajevo
Sprachen
Englisch
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