Mihael Galinac has a diverse work experience spanning various industries and roles. Mihael is currently working as a Machine Learning Engineer at cyan Security Group since July 2021. Prior to that, they worked as a Computer Vision Research Engineer at Siemens from February 2021 to May 2021.
In 2019, Mihael worked as a Machine Learning Researcher at TissueGnostics, where they focused on applying ML and DL to microscopic images for automated detection of anomalies on kidney tissue. Mihael developed an image segmentation workflow and trained neural networks using customized U-Net architecture.
From October 2018 to August 2019, Mihael worked as a Research Assistant at the University of Zagreb, Faculty of Geodesy. Mihael analyzed remote sensing and tabular data, developed and trained ML and DL models for classification and segmentation tasks. Mihael also mentored Master students during this time.
In 2018, Mihael interned as a Machine Learning Intern at KING ICT, gaining practical experience in machine learning.
Before transitioning into the field of machine learning, Mihael worked as a Land Surveyor at various companies, including Blackwell & Associates, Topper's, Office of accredited surveyor Zlatko Tokić, Geometar, and Geo Grupa. In these roles, they conducted land surveys, monitored construction sites, and performed cadastral and engineering work using geodetic instruments and AutoCAD.
Overall, Mihael Galinac has a strong background in machine learning, computer vision, and land surveying, with experience in researching, developing, and implementing ML/DL models for various applications.
Mihael Galinac's education history begins in 2010 when they enrolled at the University of Zagreb/Sveuciliste u Zagrebu. During their time at the university from 2010 to 2015, they pursued a Bachelor of Engineering (BE) in Geodesy and Geoinformatics.
After completing their bachelor's degree, Mihael continued their education at the same institution. From 2016 to 2018, they pursued a Master of Engineering (MEng) in Geodesy and Geoinformatics, further specializing in this field.
Mihael's education journey then took him to the Medical University of Vienna in 2019, where they embarked on a Doctor of Philosophy (PhD) program. Mihael'sfocus of study during this time was Medical Imaging, enhancing their knowledge in this specialized area.
Based on the available information, it can be concluded that Mihael Galinac completed their Bachelor's degree in Geodesy and Geoinformatics, followed by a Master's degree in the same field. Mihael then transitioned to pursuing a PhD in Medical Imaging at the Medical University of Vienna.
July, 2021 - present