Summary
Sanghun Kang is a software developer with nine years of experience building NLP and full-stack applications for enterprise clients, currently working at SAP and leading projects at FBA Quant. He blends Python and JavaScript expertise with a strong foundation in both classical and cutting-edge quantitative methods, applied to search, web visualizations, and algorithmic trading. His background spans industry and research—implementing multi-class medical imaging models, speech/dialog systems, and performance evaluation frameworks at IBM—demonstrating an ability to move ML prototypes into production. International collaboration is a hallmark of his work, having partnered with engineers across the US, Europe and Asia Pacific, and he studied GIS/cartography in Berlin before completing an MBA in Digital Finance. Outside engineering he brings curious cross-disciplinary interests in linguistics, cooking and companion animals, which inform a user-focused approach to product design. Humorous and candid on GitHub as “a taxpayer, trying to pay more,” he pairs technical rigor with a pragmatic, down-to-earth perspective.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Economics , Public Governance, with Honour, Bachelor's degree, Economics , Public Governance, with Honour at Korea University
Exchange Programme, Geographic Information Science and Cartography, Exchange Programme, Geographic Information Science and Cartography at Technische Universität Berlin
Master of Business Administration - MBA, Digital Finance, Master of Business Administration - MBA, Digital Finance at Korea Advanced Institute of Science and Technology
Korean, English, German, Spanish