About

Hongnan L. is a highly skilled Senior Machine Learning Engineer with over 6 years of relevant experience in the industry. He possesses a diverse skill set that includes programming languages such as Scala, Java, Python, SQL, Bash, XML, and HTML, as well as proficiency in big data ecosystems such as Spark, Hadoop, Hive, MapReduce, HDFS, and Pig. Hongnan has also worked extensively with Amazon Web Services, specifically EMR, EC2, S3, and Redshift. In addition to his technical abilities, Hongnan has experience with statistics tools such as R and SPSS, various databases such as Veretica, MongoDB, and MySQL, and software development tools such as Eclipse, IntelliJ, Maven, Ant, IPython Notebook, Git, RStudio, and Weka. He is also well-versed in optimization packages and modeling systems like Gurobi and methodologies such as Agile, UML, and Design Patterns. Currently, Hongnan works as a Senior Machine Learning Engineer at Ubisoft, where he is responsible for building ML infrastructure for the data science team in Ubisoft SF. Before this, he worked as a Senior Software Engineer at Kayak, where he was part of the KAPI (Kayak API) team and later the Data Engineering team. Hongnan completed his Master's Degree in Data Science from Worcester Polytechnic Institute in 2016. His education, coupled with his extensive experience, has given him a deep understanding of the field and has made him an expert in various technologies. His tech stack includes ML, SQL, HDFS, Spark, MapReduce, Big Data, Software Engineering, Data Science, MySQL, MongoDB, Hadoop, Web, Infra, Python, Scala, Java, and Apache Hive. Overall, Hongnan L. is a highly skilled and experienced Senior Machine Learning Engineer who has worked with some of the biggest names in the industry. His diverse technical abilities, coupled with his education and experience, make him a valuable asset to any team.