Ferdyan Dannes

Ferdyan Dannes began their career in 2017 as an Intern at PT Len Industri (Persero), where they built a library using Dynamic C programming language to access the mp3 file. In 2018, they joined the Industrial Technology Research Institute (ITRI) as an Associate Researcher, where they designed an algorithm for powerful and robust software to generate an accident trajectory from Taiwan's accident video by using Machine Learning and Computer Vision algorithm. Ferdyan also worked as a Researcher at the Signal Processing and Machine Learning Laboratory NTUST, where they made a project proposal for the ITRI. In 2019, they became a Teaching Assistant for the \"Intelligent Video Surveillance System\" course from the Department of Electronic and Computer Engineering at the National Taiwan University of Science and Technology. In 2020, they joined AccuSentry, Inc. as a Software Developer, where they worked to help manufacturing enterprises worldwide improve production consistency, reduce product waste and optimize production performance by using Machine Vision. Ferdyan also became a Teaching Assistant for the \"Database Design\" course from the Department of Electronic and Computer Engineering at the National Taiwan University of Science and Technology.

Ferdyan Dannes obtained a Bachelor of Engineering - BE in Electrical and Electronics Engineering from Institut Teknologi Sepuluh Nopember (ITS) between 2014 and 2018. Ferdyan then went on to pursue a Master's degree in Computer Engineering from National Taiwan University of Science and Technology between 2018 and 2020. In addition, they obtained certifications in Data Analyst with Python and Data Scientist with Python from DataCamp in July 2020.