Zenodia Charpy is a senior deep learning solution architect with expertise in deploying LLM-enabled agents to tackle real-world challenges. Her skills span optimizing query decomposition for parallel task execution to reduce latency, integrating human-in-the-loop systems to empower human decision-makers alongside specialized LLM agents, and expanding capabilities to multimodal agents within a 3D simulated environment. As a dedicated Gen AI and Deep Learning practitioner, she addresses LLM challenges for non-English and low-resource languages, including Swedish, Danish, and Norwegian. With eight years of experience as a data scientist, Zenodia has developed robust, end-to-end solutions, both as an in-house expert and as a consultant. A lifelong learner, she is passionate about acquiring new skills and expanding her knowledge daily.