Rafael Vasco is an Agentic Senior Full Stack Engineer with 14 years of experience building end-to-end AI-driven web applications, currently open to global roles from Brazil and working as a contractor. He specializes in agentic/LLM systems, RAG pipelines, and scalable full-stack architectures using Python, TypeScript, FastAPI, React and LangChain, and has repeatedly shipped solo MVPs that span data, infra and UX. Notable wins include a customer-service AI agent that lifted lead conversion by 40% and a WhatsApp legal-education agent tuned to minimize hallucinations on high-stakes content. Comfortable across cloud-native deployments (GCP Cloud Run), async processing (Celery), and vector search (FAISS/FAISS-like stores), he blends product-minded engineering with practical prompt/embedding tuning. A former game developer and long-time polyglot coder, he often bridges research-grade LLM work with production constraints to reduce headcount and accelerate go-to-market.
14 years of coding experience
6 years of employment as a software developer
Bacharel em Ciência da Computação, Ciência da Computação, Bacharel em Ciência da Computação, Ciência da Computação at Faculdade Ruy Barbosa
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