Summary
Ed Donner is Co-Founder and CTO at Nebula in New York, building generative AI and proprietary LLMs to transform how recruiters match people to roles and ultimately help them discover their Ikigai. A technology leader and entrepreneur who learned to code at eight and holds a Physics degree from Oxford, he spent much of his career at JPMorgan where he rose to MD and ran a global engineering organization of 300. He founded untapt, commercialized deep learning/NLP matching products, and helped create a patented AI-for-talent invention that later merged into GQR/Nebula. Still hands-on, Ed experiments with LLMs on weekends, authors a best-selling Udemy course on LLM engineering, and frequently speaks at O'Reilly and ODSC events. He combines enterprise-grade delivery across Python/Flask, React, Mongo, Elasticsearch and Kubernetes on GCP with startup speed and a mission-driven focus on improving career outcomes.
1 year of coding experience