Summary
Jong-yeol Yang is an Artificial Intelligence Engineer with 11 years of experience building production-grade deep learning systems across speech, NLP, computer vision and reinforcement learning. He has led NLP efforts at Shinhan Bank—developing retrieval-augmented QA, financial-domain PLMs, and end-to-end PLM pipelines for multiple Korean GLUE tasks—while earlier work spans high-frequency trading models, game-playing RL bots, and embedded TTS for major device vendors. Comfortable in C++ and Python, he bridges research and engineering, shipping scalable distributed training and inference (including data-parallel RL and embedded deployments). Known for pragmatic problem-solving, he has repeatedly improved product metrics (e.g., boosting game-bot win rates and keyword-spotting accuracy) and accelerated workflows through automation. Based in Yongin-si, South Korea, he combines academic rigor (M.S. from GIST) with diverse industry impact across finance, gaming, and consumer electronics.
11 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.), Information and Communication, 4.13/4.5, Master of Science (M.S.), Information and Communication, 4.13/4.5 at Gwangju Institute of Science and Technology
Bachelor of Science (B.S.), Electrical and Electronics Engineering, 3.93/4.5, Bachelor of Science (B.S.), Electrical and Electronics Engineering, 3.93/4.5 at Inha University
English, Korean