Won Joon C.
About Won Joon C.
Won Joon C. is a Data Engineer with extensive experience in machine learning and data science, having worked for notable companies such as Samsung C&T Corporation, Kakaobank, and IBM. He holds degrees in Computer Science and English Linguistics from Dongguk University and has a keen interest in building machine learning pipelines and exploring DataOps.
Current Role at Sendbird
Won Joon C. serves as a Data Engineer at Sendbird, a position he has held since 2021. In this role, he focuses on developing data solutions that enhance the company's communication platform. His responsibilities include managing data infrastructure and ensuring the efficient processing of data to support various applications.
Previous Experience in Data Engineering
Prior to his current role, Won Joon C. worked at SK Telecom as a Data Engineer from 2019 to 2021. His experience also includes a brief tenure at IBM as a Data Scientist in 2018. Additionally, he contributed to Kakaobank as a Deep Learning Engineer for four months in 2019, where he applied his skills in machine learning to banking solutions.
Education and Expertise
Won Joon C. studied at Dongguk University from 2012 to 2018, where he earned degrees in Computer Science and English Linguistics, Interpretation, and Translation. His academic background provides a solid foundation for his work in data engineering and machine learning. He aims to become a full stack machine learning engineer, demonstrating his commitment to continuous learning and professional development.
Background in Public Service
Before entering the tech industry, Won Joon C. served as an Auxiliary Policeman at the Seoul Metropolitan Police Agency from 2014 to 2015. His role involved providing security for embassies and diplomatic missions, highlighting his diverse background and experience in public service.
Interests and Specializations
Won Joon C. has a strong interest in building end-to-end machine learning pipelines that deliver valuable services to users. He is also engaged in DataOps, entrepreneurship, language education, and quantitative investing, reflecting a broad range of interests that complement his technical expertise.