Charisma Rusdiyanto

Developed an autonomous racing robot using computer vision and machine learning algorithms to navigate a complex track. Implemented path planning, obstacle detection, and real-time decision-making systems.

Developed a modern web application for efficient academic planning with degree visualization, prerequisite tracking, and course scheduling. Implemented AI-Assistant to automate process and reduce complexity.

Implemented and enhanced a deep learning model for high-quality image generation using conditional PixelCNN++. Optimized model performance for real-time generation and reached 80% of accuracy.

Engineered virtual memory allocation, system call, and multiprocessing architecture for an MIPS-based operating system.

Designed an AI chatbot that uses Llama 3.2 Combined with Retrieval Augmented Generation to aid students comprehend course materials.