Federal University of Technnology
Computer Engineering, Engineering
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I have hands-on experience working with AI systems that depend on high-quality training data, particularly in building AI-powered features, RAG pipelines, document understanding workflows, and structured data extraction tools. I have worked on projects involving embeddings, vector search, prompt evaluation, document ingestion, and AI-assisted automation, where clean, well-labeled, and contextually accurate data is essential for reliable model performance. What sets me apart is my strong software engineering background combined with practical AI implementation experience. I understand not only how to label, review, and structure data for AI training, but also how that data affects downstream model behavior, retrieval accuracy, prompt quality, and user-facing results. My experience with Python, APIs, workflow automation, ERP systems, and real-world business processes allows me to approach AI training data with both technical precision and practical judgment.
Computer Engineering, Engineering
Software Developer