Nikola Koevski
About Nikola Koevski
Nikola Koevski is a Software Engineer with a strong academic background in distributed computing, holding multiple degrees in the field. He currently works at Camunda in Berlin and has prior experience in various roles, including an internship and a master's thesis position.
Work at Camunda
Nikola Koevski has been employed as a Software Engineer at Camunda since 2018. His role involves contributing to the development of process automation solutions. Based in the Berlin Area, Germany, he has been part of a team focused on enhancing the efficiency and scalability of business processes through innovative software solutions.
Education and Expertise
Nikola Koevski holds a Master of Science (M.Sc.) in Distributed Computing from Instituto Superior Técnico, where he studied from 2014 to 2016. He also completed a Master of Science (M.Sc.) in Distributed Computing at KTH Royal Institute of Technology from 2015 to 2016. His academic foundation includes a Bachelor of Engineering in Computer Science from the Faculty of Computer Science and Engineering 'Ss. Cyril and Methodius' - University in Skopje, achieved between 2009 and 2013.
Background
Nikola Koevski began his career with an internship at Nextsense in 2012, where he worked for one month in Skopje, Macedonia. He later served as a Master's thesis student at INESC-ID in Lisbon, Portugal, for eight months in 2016. This experience provided him with practical insights into distributed computing, further shaping his career trajectory.
Interests and Hobbies
In his free time, Nikola Koevski engages in projects involving Raspberry Pi and IoT devices, focusing on creating automated home environments. He has a strong interest in virtualization and cloud technologies, which aligns with his academic background in distributed computing. This passion for technology drives his continuous learning and exploration in the field.
Career Aspirations
Nikola Koevski is pursuing a career path aimed at becoming a Big Data engineer. He is building on his expertise in distributed computing and his interest in cloud technologies to develop the necessary skills for this role. His academic and professional experiences provide a solid foundation for his future endeavors in the field of data engineering.