Lee Jack Kee

Software Engineer Ii @ MATRIXX Software

About Lee Jack Kee

Lee Jack Kee is a Software Engineer II at MATRIXX Software, specializing in data analysis and telecommunications projects. He holds a Bachelor's degree in Intelligent Systems and has experience in web development and full stack development.

Work at MATRIXX Software

Lee Jack Kee has been employed at MATRIXX Software as a Software Engineer II since 2022. In this role, he contributes to telecommunications projects, utilizing his skills in data analysis. Prior to his current position, he worked at MATRIXX Software as a Software Engineer from 2020 to 2021. His experience at MATRIXX Software spans a total of two years, during which he has developed expertise in software engineering within the telecommunications sector.

Education and Expertise

Lee Jack Kee graduated with a Bachelor's degree in Intelligent Systems from Asia Pacific University of Technology and Innovation (APU / APIIT), completing his studies from 2015 to 2019. His educational background indicates a specialization in AI-related technologies. He possesses expertise in developing web applications, particularly using Spring Boot and Java, which are essential skills in the software development industry.

Professional Background

Lee Jack Kee's professional background includes a variety of roles in software development. Before joining MATRIXX Software, he worked as a Web Developer at Hong Leong Bank Berhad from 2019 to 2020. His earlier experience includes an internship as a Full Stack Web Developer at Inventech Solution in 2018, where he worked for two months. This diverse experience has contributed to his skill set in software engineering and web development.

Skills in Data Analysis

Lee Jack Kee possesses skills in data analysis, which he applies to his work in telecommunications projects at MATRIXX Software. His ability to analyze data effectively supports his contributions to software engineering tasks, enhancing project outcomes and efficiency. This skill set is increasingly valuable in the technology sector, particularly within roles that involve complex data-driven decision-making.

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