Daniel Lopes is a technology and data executive with 11 years of experience who currently serves as Chief Information Officer at InfoPrice, where he leads Data, Analytics, Technology and Engineering to build differentiated retail intelligence products. He combines hands-on expertise in computer vision, NLP and deep learning—developed through years of melanoma detection research—with strategic ownership of product, data governance and AI-driven pricing solutions. At InfoPrice he has scaled data platforms, driven dynamic pricing and retail analytics products, and prioritized LGPD-compliant data literacy across the organization. Daniel also mentors and advises startups and teams as a chief-on-demand, fostering a culture that bridges academic research and industry delivery. Based in São Paulo, he pairs a PhD-level analytical background with practical infrastructure and software experience dating back to IT and CTO roles. A lesser-known thread of his career is deep involvement in image-to-text OCR and GTIN enrichment pipelines that power subtle but high-impact product features.
11 years of coding experience
9 years of employment as a software developer
Engineer’s Degree Computer Engineering, Engineer’s Degree Computer Engineering at Centro Universitário Católico Salesiano Auxilium - UniSALESIANO Araçatuba
Associate’s Degree Information Technology, Associate’s Degree Information Technology at Colégio Salesiano Dom Luís Lasagna - Araçatuba
Doctor of Philosophy (Ph.D.) Nuclear Engineering, Doctor of Philosophy (Ph.D.) Nuclear Engineering at USP - Universidade de São Paulo
Associate's degree Electrical Electronic and Communications Engineering Technology/Technician, Associate's degree Electrical Electronic and Communications Engineering Technology/Technician at Senai São Paulo
Contributions:1 PR, 18 pushes, 4 branches in 1 year 10 months
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