Luís Fernando Ferreira Pereira Lopes

Studies in Natural Language Processing (NLP) for document similarity and document classification, construction of crawlers for automatic data extraction, involvement in article writing and automation of administrative processes using machine learning and deep learning.

Engineered a versatile AI Agent factory from scratch using LangChain and FAISS, creating a customizable RAG system to rapidly deploy specialized agents for SAP, PMO, and Supply Chain automation. Migrated a Python Flask API to a scalable, serverless architecture using Azure Functions to serve as the backend for the multi-purpose AI Agent system.

Redeveloped credit models, increasing monthly revenue by over R$ 200K and improving the KS statistic by more than 25%. Developed comprehensive credit and collection models to mitigate risk and improve capital recovery. Built and implemented a robust monitoring system for credit model performance and key variables.

Analysis of network indicators, use of Descriptive Statistics for gaining insights, development of automations using Python, Bash, Excel, Docker, and Power BI, creation of ETL pipelines, implementation of Web Tools for network data analysis, creation of Power BI Dashboards, and modeling of Relational Databases.

Responsible for managing access for large companies within the CNP Asurrances group in the Brazilian insurance scene. Managed the email inbox of the company's security department. Conducted Phishing analyses based on email headers to detect malicious emails. Automated repetitive tasks using Python.

Special tutor at the PTE in the Network Fundamentals subject, preparing summaries, answering questions and giving weekly classes to the tutee student on the content related to the CompTIA Network+ certification and the subject

Grade: 4.5/5

Grade: 4.22/5

Studied Telecommunication Engineering. Focused on the principles and applications of communication networks.