Joohwi Lee's Email & Phone Number

💼 Past Experience

Joohwi Lee has worked as a senior software engineer at AutoXJoohwi Lee from 2012 to 2012 (less than a year). He is currently working as a summer intern at Intel from 2012 to 2012 (less than a year). He is responsible for design and implementing large-scale road test data analysis pipeline, engineering support for large-scale distributed system, and I am not interested in other opportunities for now. He worked as a software engineer at AutoX Inc. from 2018 to December 2018 (less than a year) in San Francisco Bay Area. He was responsible for design and implementing the backend system and external APIs. He was also responsible for messaging system across sensors, devices, and computers. He was a software engineer at Google from January 2016 to 2017 (1 year) in Mountain View, CA. He was responsible for building a display ad product log analysis pipeline that processed 400TB/day data and trillions of entries and improved its running time 10 times faster with in-memory caching, LogLog counting algorithm, and an approximated quantile summary algorithm. He was also responsible for designing and implementing an offline multi-threadedquery replay library that ran within Google Flume framework. He was responsible for engineering support for large-scale distributed system. He was also responsible for developing a data pipeline to improve the estimation of the product statistics. He also was responsible for developing a data aggregation framework that fed to a kNN-basedmatching server. He was also responsible for internal debugging web application and dashboards that monitored the quality of kNN-basedmatching server. He was a researcher at Seoul Women's University from August 2006 to July 2007 (1 year). He was responsible for researching establishing correspondence on mandible using patch decomposition method. He was also responsible for constructing 3D interactive patch decomposition using VTK & ITK library, compiling barycentric coordinate for each patch by solving linear system, computing the shortest path between points user selected, implementing Active Shape Model to segment mandible under significant artefact, developing Face Tracking algorithm using Matlab, implemented mathematical morphology, implemented optical flow algorithm, and developed a personalized bookmarking service using Java and Oracle. He was a researcher at Daum Communications from June 2000 to September 2004 (4 years 4 months). He was responsible for developing content management system using Java and Documentum. He was responsible for developing personalized bookmarking service using Java and Oracle. He was also responsible for developing intra-net personal mileage registration system using Jsp and mySql. He was a graduate student instructor at University of North Carolina at Chapel Hill from January 2015 to May 2015 (5 months). He teaching COMP283 Discrete Structure course in the spring of 2015 with 40 students. He managed all the class materials, exams, quizzes, gradings, and every class activities. The class consisted of quantifiers, basic math notations (sets, functions, relations, ...), counting, mathematical induction, recurrence equation, algorithm complexities, and basic number theory.

🎓 Education

Joohwi Lee's educational background and work readiness are based on his past education from University of North Carolina at Chapel Hill and Seoul National University.Joohwi Lee has a Ph.D. from University of North Carolina at Chapel Hill in computer science and engineering. His collegiate education was in computer science and engineering at 서울대학교 / Seoul National University.Since his graduation from University of North Carolina at Chapel Hill in 2007, Joohwi Lee has worked as a research associate at the Google Inc.’s 서울대학교 / Seoul National University.In his current work role, Joohwi Lee is responsible for conducting research on various machine learning and artificial intelligence technologies. His research work has included development of deep learning algorithms, as well as data-driven machine learning models. Joohwi Lee has also been published in a variety of journals and articles, and is considered someone with a strong researchlibrary.

💡 Technical & Interpersonal Skills

Joohwi Lee's professional and technical skills: Senior Engineer at AutoXJoohwi Lee is a Senior Engineer at AutoX, which is a subsidiary of Intel. They work on backend and frontend infrastructure for AV-based services, design and implementing large-scale road test data analysis pipeline, engineering support for large-scale distributed system, and I am NOT interested in other opportunities for now.Senior Software Engineer at AutoXJoohwi Lee was a Senior Software Engineer at AutoX from 2018 to December 2018. They were responsible for followings.Design and implemented the backend system and external APIs.Messaging system across sensors, devices, and computers.Sensor and log data aggregation and analysis.Road-test data collection, analysis and searching.Software Engineer at GoogleGoogle was Joohwi Lee's first job. They worked there from January 2016 to January 2017. They were responsible for building a display ad product log analysis pipeline that processed 400TB/day data and trillions of entries and improved its running time 10 times faster with in-memory caching, LogLog counting algorithm, and an approximated quantile summary algorithm.Senior Software Engineer at AutoX Inc.Joohwi Lee was a Senior Software Engineer at AutoX Inc. from 2018 to December 2018. They were responsible for design and implementing the backend system and external APIs.Software Engineer at GoogleJoohwi Lee was a Software Engineer at Google from January 2016 to January 2017. They were responsible for building a display ad product log analysis pipeline that processed 400TB/day data and trillions of entries and improved its running time 10 times faster with in-memory caching, LogLog counting algorithm, and an approximated quantile summary algorithm.