Rayland Magalhaes
Statistician
Minas Gerais, Brazil
Summary
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Top SchoolRayland Magalhaes is a statistician-turned-machine learning engineer with eight years of experience building production-grade NLP and conversational AI systems that turn unstructured data into actionable insights. He’s delivered RAG-powered, multi-agent chatbots and semantic search pipelines for marketing and automotive teams, integrating sources into Snowflake and using Pinecone, LangGraph, and OpenAI embeddings to auto-generate and retrieve semantic metadata. Comfortable across data engineering, modeling, and MLOps, he packages end-to-end solutions with FastAPI, Docker, CI/CD and monitors models with LangSmith and Weights & Biases to reduce hallucinations and improve real-world performance. A top-rated Upwork freelancer and 1st-place data competition winner, Rayland pairs rigorous statistical training with hands-on deployment experience in AWS/GCP/Azure. Notably, he has converted legacy AI setups to modern LLM architectures and built intelligent document understanding APIs combining OCR, GPT-3.5, and vector search.
7 years of coding experience
6 years of employment as a software developer
Federal University of Rio Grande do NorteGithub contributions (5)
raylandmagalhaes/Projeto-Twitter
Jul 2020 - Jun 2024
Contributions:1 push, 1 comment in 4 years
raylandmagalhaes/Portfolio_R
Mar 2021 - Mar 2021
Contributions:68 pushes, 1 branch in 5 days
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