Juha Kylmänen

Lead Software Developer @ Liana Technologies

About Juha Kylmänen

Juha Kylmänen is a Lead Software Developer at Liana Technologies in Oulu, Finland, where he has worked since 2018. He holds a Master's and Bachelor's degree in Information Technology from the University of Oulu and has extensive experience in software development, particularly in PHP and vulnerability discovery.

Work at Liana Technologies

Juha Kylmänen has been employed at Liana Technologies since 2018, where he currently holds the position of Lead Software Developer. His tenure at the company spans six years, during which he has also served as a Software Developer and a Senior Software Developer. His roles have involved significant contributions to software development projects and team leadership.

Education and Expertise

Juha Kylmänen studied at the University of Oulu, where he earned both a Bachelor's degree and a Master's degree in Information Technology. His undergraduate studies took place from 2004 to 2011, followed by a Master's program from 2011 to 2013. This educational background has equipped him with a solid foundation in information technology principles and practices.

Background in Research and Development

Before his current role, Juha Kylmänen worked as a Research Assistant at the University of Oulu for eight months in 2013. This experience contributed to his understanding of research methodologies and software development in an academic setting, complementing his practical experience in the industry.

Technical Skills and Experience

Juha Kylmänen has extensive experience as a PHP developer, having worked with the language since 2005. He possesses skills in version control systems such as git and svn, and has experience with web hosting technologies including AWBS, cPanel, WHM, and Apache. Additionally, he has a basic understanding of Docker and VirtualBox, indicating familiarity with containerization and virtualization.

Vulnerability Discovery and Fuzzing Experience

Juha Kylmänen has contributed to the discovery of vulnerabilities through fuzzing techniques using AFL and Radamsa. His work has led to the identification of specific vulnerabilities, including CVE-2013-6712 and CVE-2013-4605. This experience highlights his capability in enhancing software security and reliability.

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