During December 2024, Sirius developed two dynamic programming features for the geultto/daily-solvetto repository, focusing on algorithmic problem solving in Python. He implemented an air conditioner temperature optimization that minimizes power consumption while maintaining a target temperature, factoring in external conditions and passenger presence. Additionally, he built a dart game scoring optimizer that reduces the number of darts needed to reach a target score, prioritizing single and bullseye hits when multiple solutions exist. Both solutions demonstrate depth in dynamic programming design and clear version control practices. No bugs were reported, reflecting careful implementation and a strong grasp of algorithmic techniques.