Ming Kang

Ming (Matthew) KANG is a highly skilled professional with a diverse interdisciplinary background in computer science, information technology, mathematics (statistics), and economics (finance) from a top-ranked global university. Throughout his career, Ming has worked in various technical roles, including artificial intelligence & algorithm modeling engineer, data mining engineer, and data software development engineer.

With a strong foundation in machine learning, data processing, financial technology (FinTech), and medical technology (MedTech), Ming excels in technology-centric environments and fast-changing markets. He possesses exceptional hands-on experience, logical troubleshooting abilities, and creative problem-solving skills, enabling him to think like an AI data scientist.

Ming's technical skills encompass a wide range of areas, including artificial intelligence for healthcare, big data architecture components like CentOS Linux, MySQL/MariaDB, Hadoop, Sqoop, Impala, Hive, HBase, Spark SQL, Flink, and more. He is well-versed in big data technology stacks, middle data platforms, and various programming languages such as Java, Scala, Python, R, MATLAB, and others. Ming also has expertise in DevOps tools, AIOps, web development with microservices, and has contributed to technical documents like a Data Mining Manual. Additionally, his thesis focused on Knowledge Graph Attention Network for Recommendation (KGAT).

Ming's specialties lie in data analytics for macroeconomics and quantitative finance, showcasing his profound interest and expertise in these areas. His professional qualifications include a certificate of specialty and technology as an Economist, recognized by the Ministry of Human Resources and Social Security of the People's Republic of China.

In terms of education, Ming holds a Bachelor of Engineering in Communication Engineering, a Master of Economics in Finance, a Master of Science in Mathematical Statistics and Probability, and a Doctor of Philosophy in Finance. His educational journey includes prestigious institutions such as Peking University and University of Chinese Academy of Social Sciences.

Throughout his career, Ming has held significant roles at reputable organizations, such as serving as an Artificial Intelligence Engineer at Wonders Corporation and previously working as a Data Mining Engineer at Shenzhen Topway Video Communication Co., Ltd. and a Network Engineer at ShanDa Interactive Entertainment Ltd.