Summary
Eilon Sheetrit is a Principal AI Scientist and PhD-trained information retrieval expert with 11 years of experience building production-grade ML and deep learning systems that improve search, content moderation, and generative AI products. He combines end-to-end AI architecture skills—LLMs, RAG, low-latency retrieval, fine-tuning and prompt engineering—with a proven record of shipping scalable solutions and filing multiple patents at major companies like Amazon and Intuit. Comfortable bridging research and product, he has advised mission-critical teams in the Israeli Intelligence Service, led cross-functional integrations globally, and teaches graduate courses on text retrieval at Reichman University. Notably, he reduced annotation effort by 90% through an LLM-based labeling tool and consistently focuses on practical, latency-aware designs for real-world information access challenges.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Information Management Engineering, Doctor of Philosophy - PhD, Information Management Engineering at Technion - Israel Institute of Technology
English, French, Hebrew