During December 2024, contributed two dynamic programming-based optimizations to the geultto/daily-solvetto repository, focusing on algorithmic efficiency and problem solving in Python. Developed an air conditioner temperature optimization feature that minimizes power consumption while maintaining a target temperature, factoring in external conditions and passenger presence. Also implemented a dart game scoring solution that reduces the number of darts needed to reach a target score, with logic to prioritize single and bullseye hits among optimal combinations. Demonstrated clear version-control practices and a disciplined approach to algorithm design, with no major bugs reported during the period, reflecting depth in dynamic programming techniques.