Daniel Winterstein is a Senior Staff Engineer and AI specialist with 15+ years applying research-grade machine learning and NLP to real-world products, from ethical ad-tech as CTO of Good-Loop to enterprise LLM assistants at N-able. He combines a PhD in AI and a first-class mathematics degree with deep hands-on engineering across Python, C#, Java, React and cloud platforms, building systems that meet security, governance and scale requirements. An entrepreneur and serial founder, he has led technical teams and startups that turn data and generative techniques into practical business value, including ESG and ad-tech platforms. As an independent consultant he has delivered robust LLM solutions using RAG, vector DBs and agent patterns, and maintains a pragmatic focus on QA, evaluation and maintainability. He also contributes strategic oversight as a long-standing trustee in international development and scouts impact investments, revealing a consistent thread of mission-driven technology. Colleagues describe him as a recovering academic who thrives on translating theoretical AI into reliable production systems.
15 years of coding experience
24 years of employment as a software developer
Ph.D. Artificial Intelligence, Ph.D. Artificial Intelligence at The University of Edinburgh
BA (1st class honours) plus MA Mathematics, BA (1st class honours) plus MA Mathematics at University of Cambridge
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Daniel Winterstein - Technical Lead at Winterstein Consultancy Ltd