Charli Posner

Charli Posner is an AI engineer exploring the limits of modern AI models in real-world systems.

At Stile Education, she builds production AI systems — from pipelines that scan handwritten student work into the platform to image editing workflows for illustrated characters. She also develops infrastructure for evaluating and improving LLM outputs across product features and internal tools.

Her work spans LLM pipelines, vector databases, computer vision, and deep learning, including research in human pose estimation at Toshiba and the University of Bristol. She focuses on the practical challenges of deploying AI systems: handling noisy inputs, unpredictable outputs, and making models reliable in real-world applications.

Outside of work, she builds creative AI projects such as interactive pose-tracking installations and writes technical blogs documenting experiments with emerging AI tools.