Sunghyun Kim is Vice President of Algorithm at JERA Cross Co., Inc., where he leads the Forecasting and Trading System Group within the Technology Division. His team develops, continuously improves, and operates the ML models and AI systems behind the company's electricity demand forecasting and its generation forecasting across a distributed portfolio of solar and other renewable assets, supporting the company's own supply-demand operations, power trading, and balancing cost optimization in Japan's electricity market. He works at the intersection of machine learning and its operation at enterprise scale, with a background in large-scale data lake and warehouse architecture, MLOps, and product delivery. His current interests include LLM-driven agent and evaluation harnesses for the development and operation of forecasting systems, and modelling approaches that connect forecast uncertainty to risk and hedging decisions. Having earlier worked on derivatives pricing and hedge trading systems in financial services, he approaches forecasting as a risk and P&L problem rather than an accuracy metric alone.