As an AI Development Intern, I design and orchestrate agent workflows with LangChain and LangGraph. These applications automated three manual processes and saved 15+ hours per week.
I developed RAG systems for internal teams that increased search accuracy by 40% and reduced information retrieval time by 60%. I also built a LangGraph RAG Assistant project that queries REST APIs, PDFs, and SQL databases, reducing hallucinations by 65% through source validation and relevance ranking.
In my internship, I managed software lifecycle work in Microsoft Azure and Azure DevOps, including CI/CD pipelines and automated deployments. I also built Python ETL pipelines for datasets with 1M+ records and contributed to training and evaluating image classification and object detection models.
My projects include a facial recognition pipeline for banking security that reached 98.5% accuracy, and an urban mobility dashboard using Citi Bike NYC data. I’m studying for a Bachelor’s in Artificial Intelligence at UNIMAR and am committed to reproducible, observable, and responsible AI.
