Fábio Neves is a Strategic AI Consultant based in Lisbon with over a decade of experience blending business intelligence, data analytics, and product strategy to deliver pragmatic AI solutions. He has a track record of turning small, value-focused experiments into scalable capabilities across fintech, gaming, and retail, including building automated multi-agent labeling and RAG systems that categorized over 70% of inputs with high accuracy. Comfortable translating technical possibilities into business outcomes, he designs AI training programs and knowledge-sharing initiatives that empower non-technical stakeholders to use LLMs effectively. A former data scientist at bet365 and contributor to Towards Data Science, he combines hands-on analytics experience with strategic consulting to avoid hype and prioritize measurable impact. Currently exploring agentic systems and workflow automation, he favors sustainable, operational improvements over one-off proofs of concept.
10 years of coding experience
4 years of employment as a software developer
Postgraduate Knowledge Management and Business Intelligence, Postgraduate Knowledge Management and Business Intelligence at NOVA IMS Information Management School
Bachelor's Degree Management, Bachelor's Degree Management at Nova School of Business and Economics
Management, Management at SGH Warsaw School of Economics
Contributions:5 commits, 4 pushes, 1 branch in 10 days
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