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AI Engineer
AI Engineer building GenAI, RAG, NLP systems—focused on reliable, scalable, cost-aware agentic AI.
BrazilAI Engineer at Xseed Solutions
Contracted via Xseed Solutions to deliver Azure-based AI pilots, including an OCR evaluation approach and a document-type screening workflow for 1M+ annual applications. Built React frontends and owned end-to-end deployment to Azure VM environments while mentoring engineers.
Azure Document IntelligenceAzure AI FoundryRAGAI PilotsReactPrompt EngineeringSelf Service Improvement Loops
Led product and technical delivery of a 6-month RAG proof-of-concept, translating CTO-level requirements into evaluation benchmarks and Vertex AI infrastructure. Improved RAG-based product deduplication by accelerating Weaviate indexing and optimizing retrieval for higher recall with fewer candidates, while interviewing and mentoring engineers to support production transition.
MentorshipRAGVertex AIWeaviateBigQuery
Erasmus Mundus double degree master delivered jointly with the University of Malta, studying Language and Communication Technologies. Awarded a full Erasmus Mundus scholarship as one of the top 5% applicants in the 2021 intake.
Erasmus Mundus double degree master delivered jointly with the University of Malta, studying Language and Communication Technologies. Awarded a full Erasmus Mundus scholarship as one of the top 5% applicants in the 2021 intake.
Bachelor of Computer Science with twice-awarded University Council’s Certificate of Honours for top 1% students, professors, and staff. Completed degree from January 2017 to June 2021.
Bachelor of Computer Science with twice-awarded University Council’s Certificate of Honours for top 1% students, professors, and staff. Completed degree from January 2017 to June 2021.
Built a GenAI card-upgrade sales agent using LangChain and LangGraph, launching a production pilot with 300+ users and improving customer acquisition efficiency. Rescued and optimized a GCP RAG system for bank product Q&A by reducing inference costs and improving accuracy using Datastore search features and prompt engineering.
Lang ChainLangGraphGenAIBigQueryTime Series ModelingRAGGCPDatastorePrompt EngineeringRetrieval SystemsQ&A
Implemented embedding-based annotation features for Argilla, contributing substantial production-ready open-source NLP tooling and collaborating on research-to-production workflows. Won international NLP competitions across legal entailment, semantic similarity, and aspect-based sentiment analysis using Transformer-based systems.
NLPTransformer ModelsLegal EntailmentModel Evaluation