Quan Duong

Data Engineer at Movial

Quan Duong is a data engineer at Movial since September 2021 and is currently a PhD candidate at the University of Helsinki, where research focuses on Machine Learning and Natural Language Processing. Prior experience includes a machine learning engineer role at Frosmo, where responsibilities encompassed data modeling and development tasks with AWS, Python, and React, as well as positions as a full stack developer at EdVisto and ClipMe, and web developer roles at Web2Fix Oy and Poutapilvi web design Oy. Education includes a Doctor of Philosophy in Computer Science and a Master's degree from the University of Helsinki, a Bachelor's degree in IT - Media Engineering from Metropolia University of Applied Sciences, and a Bachelor's degree in Information Technology from Hanoi University of Science and Technology.

Location

Helsinki, Finland

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Movial

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Movial is a global software engineering and design services company specializing in mobile and embedded devices, with expertise in multimedia and communications systems, and capable in OS, driver and application layers. We have deep knowledge in trusted mobile and embedded application development utilizing secure elements. Movial excels in business critical applications and systems built on understanding of the end user needs. Key technologies we master include embedded Linux, IMS, WiFi calling, WebRTC, Secure elements, mobile software for Android, iOS and HTML5 as well as state of the art modern web technologies running on cloud computing platforms. Movial customers include several Fortune 20 companies and leading edge startups in US, EMEA and Asia in the fields of automotive, telecom, health technology, industrial goods and enterprise software verticals.


Headquarters

Helsinki, Finland

Employees

51-200

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