Victor Marzluf

• Collaborated with the core team and founders to engage and manage a Discord community of over 90,000 members.
• Resolved member issues by conducting thorough analysis of on-chain data and API interactions, identifying and reporting critical bugs to the developers for a swift resolution.
• Contributed as a strategic advisor, critically shaping upcoming game mechanics through detailed feedback and suggestions, and proactively identifying and resolving potential issues and vulnerabilities before implementation.

Developed and trained a reinforcement learning agent with the capability to play the strategy board game Catan. The project entailed:

• Research: Conducted comprehensive research on reinforcement learning algorithms and game theory to understand the strategic complexities of Catan.
• Development: Implemented a reinforcement learning model using Python and TensorFlow, optimizing the agent's decision-making process through iterative training sessions.
• Analysis: Evaluated the agent's performance through a series of metrics, highlighting improvements in strategy and adaptability over time.
• Presentation: Presented the findings and methodology in a detailed report and oral presentation, showcasing the ability to communicate complex technical concepts effectively.