Jr. Data Scientist/Ai Engineer
Current• I developed Generative AI solutions for a legal platform, as well as one with similar solutions (an off-the-shelf product). The focus was on chat solutions and a file consultant, using the RAG architecture combined with an intention detector to optimize GPT-3.5-Turbo context problems. I also developed a file summarizer using the FIRAC framework (Facts, Issues, Rules and References, Analysis, Conclusions) and other strategies to handle the GPT context window. Additionally, I integrated the solution with other Azure services, such as document translation and audio synthesis.Link to the news on the Microsoft website -> https://news.microsoft.com/pt-br/machado-meyer-advogados-lanca-ferramenta-com-recursos-de-ia-generativa-da-microsoft/• Proofs of concept for the consistent construction of models aimed at predicting the value of judicial sentences in labor processes, as well as the outcome of these decisions (Python + AutoML + Databricks). • Clustering and ranking of users through unsupervised machine learning and the RFM technique (Recency, Frequency, and Monetary Value) for a company that provides cashback services to consumers, aiming to identify the best users and increase sales for partner companies (PySpark + Databrikcs). • Implementation of projects and proof of concepts (PoCs) using Natural Language Processing to summarize documents and label paragraphs in documents as important or not important for industrial sector companies, streamlining the process of technical manual analysis and budget preparation (Python+ Databricks). • Understanding meeting with clients, hourly budget preparation, presentation of results.
