Junha Hwang is an experienced professional in trading systems development and algorithmic trading. Recent roles include serving as a member of the Trading Systems Development team at FBA Quant, focusing on API-based Alpaca trading systems and high-performance Python applications, and as Principal in the same area, specializing in machine learning for algorithmic trading and quantitative strategies. Junha also coordinated activities at NAVER D2SF and participated in an undergraduate research program at the Korea Advanced Institute of Science and Technology (KAIST) focused on financial and business accounting. Additional experiences include working as a proctor for a freshmen advisory group and as an external coordination member for the Google Developer Students Club. Junha's education spans multiple prestigious institutions, with ongoing studies at KAIST in Computer Science and Business Technology Management. Current positions include researcher and team lead at Decipher and developer at PILAB Technology.
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