Simulated and investigated behaviors of empathy-driven robots trained with Deep Learning and Reinforcement Learning algorithms via CoppeliaSim, Kilombo, and Webots.

Implemented cascading failure effects using evolutionary game theory on multiple network structures with 1000+ agents to show superiority of cooperative strategy over selfish highly rewarding strategyDeveloped a complex multi-agent system using Python to automate the testing of cascading failure effects on highly clustered scale-free networks from the Klemm-Eguiluz network model

Automated data ingestion process to optimize real-time training of facial recognition app using Python and SQLRedesigned data collection pipeline of facial expressions, diversifying current dataset with 5000+ additional entriesOptimized the real-time image processing technique implemented in visualization based on hardware limitations