Eddie Gill

I am an AI engineer focused on building production-grade autonomous AI pipelines that transition research prototypes into reliable systems. I specialize in LLM agents, computer vision, edge inference, and MLOps, and I have implemented end-to-end solutions from data collection to deployment.

My work includes developing Helix, an LLM-powered autonomous workflow agent, architecting a RAG engine with Sentence-BERT and FAISS, and building a YOLOv5-based robotic waste-sorting system deployed on Raspberry Pi. I have published research extending deep diagnostic frameworks and achieved measurable improvements over baselines.

I bring hands-on experience with PyTorch, TensorFlow, Whisper ASR, ViT, Docker, AWS, and embedded deployments, and I prioritize robust prompt engineering, audit logging, and human-in-the-loop validation to reduce manual effort while maintaining safety and fidelity.