Meta
Data Quality Analyst
Evaluating large scale multimodal English and Portuguese AI datasets, identifying quality issues, documenting standards, and supporting process improvement across teams.
Full stack developer · AI quality · cybersecurity
I am Christian Carvalho, a full stack developer and AI quality specialist with a cybersecurity background. I make products, test assumptions, and care about how systems behave in the real world.
Experience
My professional path combines large scale AI data operations, multilingual quality, content policy, and independent software product development.
Evaluating large scale multimodal English and Portuguese AI datasets, identifying quality issues, documenting standards, and supporting process improvement across teams.
Curated and evaluated Portuguese and English speech and text data, providing linguistic QA across syntax, semantics, pragmatics, and dialectal variation.
Reviewed YouTube advertising appeals in English and Portuguese, applying content policy consistently and contributing structured decisions to moderation data pipelines.
Selected work
Three independent projects connecting thoughtful interfaces, practical AI, and clear human use cases.
What I bring
My work sits where reliable software, human judgment, and emerging AI meet. That range helps me see both the product opportunity and the edge cases around it.
Designing and delivering responsive web and mobile products from architecture through release, with clean interfaces and maintainable systems.
Evaluating multilingual and multimodal AI data for accuracy, consistency, policy alignment, and real world usefulness.
Applying cybersecurity fundamentals, careful threat boundaries, and evidence based validation from cloud applications to embedded devices.
About
I am a bilingual full stack developer and cybersecurity professional based in the San Francisco Bay Area. My work moves between product development, AI data quality, and hands on technical experimentation.
I enjoy taking on difficult, unfamiliar problems, breaking them into testable parts, and turning the result into something people can understand and use. Tennis, physics, security, and open AI systems are recurring sources of curiosity in my work.

Start a conversation
I am interested in thoughtful product, AI quality, software engineering, and cybersecurity conversations.