Carolina Leguizamon
Carolina founded Di Lucaro to help small and medium businesses get found, both in Google and in AI answers from ChatGPT and Google’s AI summaries. She works at the point where engineering meets marketing. She audits how a business shows up online, fixes the technical foundation, builds the content structure AI systems can cite, and automates the follow-up, and also shapes what your brand image is like online. She also works as creative director for photographer Daniel Ahlberg, shaping his visual direction, website and visibility. She works in English, Swedish and Spanish.
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Founder & ConsultantDi LucaroTechnical SEO, AI visibility (AEO), marketing automation and web development for small businesses.2025-present
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Technical ReviewerManning PublicationsReviewed two books on AI evaluation and LLM architecture.2026
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Creative DirectorDaniel Ahlberg PhotographyVisual direction, website, search and AI visibility, and content planning for shoots and short-form video.2023-present
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AI Engineer (consultant)AI startup, SwedenMain AI engineer on production assistants and document-processing systems used by municipalities, housing companies and enterprises. Also wrote the company’s first documentation and trained client teams.Feb–Apr 2026
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Thesis Project, AI EngineerVermiculus ABBuilt an enterprise search system over 90,000+ documents. Also ran a search and AI-visibility audit for the marketing team.Oct 2025–Jan 2026
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Web Developer2ToucansDrupal and PHP development.Apr–Aug 2024
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Teacher/InstructorEducational and language centers in Paraguay, Taiwan and SwedenSpanish, English and business-English teaching, plus university and YH teaching in AI and tech. Workshops in Science Parks and companies.2016-present
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Customer Data Developer (YH) Highest grade in all courses, plus Best Thesis 2026.IHM Business School2024-2026
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Python for AI · React (YH)IT-Högskolan2024
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Full-Stack Dev · ML & Predictive AnalyticsCode Institute2024
Carolina began as an electronics and firmware engineer, writing test and embedded software where failures are costly. She brings the same mindset to her marketing and AI work: assume a component will fail and design the system to survive it. In recent years she has built production AI systems, including retrieval-based assistants, document-processing pipelines and cloud platforms. That is why her visibility work is grounded in how search engines and AI models retrieve information.