Navdar Karabulut
Angestellt, Software Engineer, Nanoscribe – A BICO COMPANY
Bis 2021, Biomedical Computing, Technical University of Munich
München, Deutschland
Über mich
In my master's study, I gained experience in biomedical images and information processing, such as medical data analysis, visualization, labeling, and semantic segmentation. As a software developer at Siemens, I obtained experience in artificial intelligence algorithms with an agile environment at BIM and Digital Twin projects like content extraction from 2D/3D images and texts using machine learning, deep learning, and computer vision. Right now, I am working as a full-time software engineer at Nanoscribe, specializing in 3D printers for biological and biomedical applications. Apart from my academic experience, in my CV, you can see that I have been involved in University Clubs and volunteer projects over the years. These projects had improved my managing and organizational skills considerably. They also helped me see real-life problems and encourage me to come up with possible solutions.
Werdegang
Berufserfahrung von Navdar Karabulut
Bis heute 2 Jahre und 2 Monate, seit Apr. 2022
Software Engineer
Nanoscribe – A BICO COMPANY
3 Jahre und 3 Monate, Feb. 2018 - Apr. 2021
Software Developer
SIEMENS
• I analyzed and processed complex data sets using visualization and analytics tools. • I developed ML algorithms for classification and detection by extracting content from images and texts using various technologies, including DL, neural networks (CNN and RNN), and OCR. • I trained and evaluated object detection algorithms with CNN architecture (Faster RCNN) for building plans. • I designed and evaluated ML algorithms to predict failures of train components.
8 Monate, Okt. 2016 - Mai 2017
Student Research Assistant
Sabancı University
• I conducted extensive research on Monte Carlo Markov Chain (MCMC) methods for image registration. • I implemented a new algorithm for image registration in MATLAB, and we published a conference paper.
4 Monate, Juni 2016 - Sep. 2016
Student Research Assistant
The University of Sheffield – CISTIB
• I examined an Anisotropic Diffusion filter called ADMSS for ultrasound images. • I generated the algorithm of ADMSS in MATLAB, and I tested it with different medical images.
Ausbildung von Navdar Karabulut
3 Jahre und 9 Monate, Okt. 2017 - Juni 2021
Biomedical Computing
Technical University of Munich
7 Monate, Dez. 2014 - Juni 2015
Electronics Engineering
Jönköping University
5 Jahre und 11 Monate, Sep. 2011 - Juli 2017
Electronics Engineering
Sabancı University
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Türkisch
Muttersprache