Hae Jun Lee
About Hae Jun Lee
Hae Jun Lee is a Senior Data Engineer at Komodo Health with extensive experience in data science, software development, and machine learning.
Current Role at Komodo Health
Hae Jun Lee is presently employed at Komodo Health as a Senior Data Engineer. Based in the San Francisco Bay Area, he focuses on the development of ETL data pipelines and the application of machine learning techniques to data. In his role, he utilizes tools like Apache Spark, Airflow, Kubernetes, AWS, and Scala to manage and optimize large-scale data operations.
Previous Employment and Internships
Prior to his current role, Hae Jun Lee amassed a range of experiences across various industries and roles. Notably, he worked at Computer System Lab @ SungKyunKwan University as a contract software developer in Seoul, Korea, for seven months in 2013. His other roles include a winter internship at Sony Computer Entertainment Inc in 2012 and a summer internship at DAIKIN AIRCONDITIONING KOREA LTD in 2009. He also served as a contract support engineer in the IT Department at F@N Communications, Inc., in Tokyo, Japan, from 2007 to 2008.
Educational Background
Hae Jun Lee holds a Master of Science degree in Computer Science from the University of Southern California, which he earned between 2014 and 2017. Before that, he completed his Bachelor of Science in Computer Engineering at Sungkyunkwan University in Korea, studying from 2004 to 2012. His educational foundation has provided him with robust technical skills and theoretical knowledge in computer science and engineering.
Technical Skills and Expertise
Hae Jun Lee is proficient in a variety of programming languages including C/C++, Java, JavaScript, and Python. He is also skilled in using several data science libraries and pipeline tools such as scikit-learn, TensorFlow, Airflow, Apache Spark, MongoDB, and Scrapy. His current projects at Komodo Health involve using these tools to develop efficient data pipelines and machine learning applications.