Bernardo Ribeiro
Eager innovator, tech enthusiast and data-driven profile with more than 10 years of experience in tech and determined to specialize further in the Data Science and Software Engineering domain.
Current enrolled as a master's student at the Erasmus Mundus Joint Master in Artificial Intelligence program (EMAI), studied Electrical Engineering at UFBA, being a dual-citizen of Italy and Brazil, fluent in Portuguese, English and French and excited for new challenges.
SKILLS
Languages
Portuguese (Native)
English (C2)
French (C1)
Italian (Basic)
Programming
Python
SQL
Javascript
HTML | CSS
Web Frameworks
FastAPI
Django
Flask
React | NextJs
DevTools
AWS
Git
Docker
VS Code
Libraries
Keras
Scikit-Learn
SQLAlchemy
Pandas
EDUCATION
Universidad Pompeu Fabra
Sapienza University
University of Ljubljana
Radboud University
Sep. 2023 - Current
Erasmus Mundus Joint Master in Artificial Intelligence (EMAI)
Relevant Information
Erasmus Mundus Scholarship Holder
Specialization in Data Science
Federal University of Bahia
Jul. 2016 - Dec. 2022
B.S. Electrical Engineering
Relevant Information
CGPA: 9.5/10
Specialized in Electronic Systems
Senior Thesis: hourly solar irradiance modelling using Machine Learning
CPE-Lyon
Aug. 2019 - Jun. 2020
Exchange Student in Electronics, Telecom, and Computer Engineering
Relevant Information
CGPA: 16.6/20
Excellence scholarship funded by CAPES for the Brazil‑France bilateral program BRAFITEC
EXPERIENCE
Ledax
Sep. 2021 - Jan. 2024
Lead Software Engineer (2023) & Executive Intern to the CEO (2021-2022)
Spearheaded a software development team that delivered an energy services web platform used by dozens of corporate clients.
Technologies Used: REST API, Microservices, FastAPI, MySQL, Docker, React, NextJs, AWS, GitHub Actions, CI/CD, Web Scraping.
Junior Enterprise of EE (UFBA)
May. 2018 - Mar. 2019
Project Manager
Led projects using Podio, such as electrical security inspection and electrical plan design.
Technologies Used: Podio, AutoCAD.
PvPLovers
Dec. 2012 - Dec. 2014
Founder
Founded one of the largest Minecraft servers in Brazil, with more than 200,000 registered players.
Technologies Used: DevOps, Linux, Bukkit, Java, Wordpress, Social Media.
PROJECTS
ML B3
May. 2022 - Present
Prediction Models for Derivative Trading
Engineered prediction models targeting derivative trading in the Brazilian Stock Market using Keras, and Scikit‑Learn. Created a web app for easier monitoring and operation.
Technologies Used: Keras, Scikit-Learn, FastAPI, React, SQLAlchemy, PostgreSQL.
WeatherLogger
Sep. 2022 - Dec. 2022
Real-time Weather Monitoring with ESP8266
Architected a full‑stack application for real‑time weather monitoring with ESP8266‑based weather stations, using MQTT and C programming.
Technologies Used: C, Arduino IDE, MQTT, FastAPI, React, PostgreSQL.
Valuation BR
Mar. 2021 - Jun. 2021
Web App Comparing Valuation Methods for Brazilian Stocks
Created a full‑stack application comparing different valuation methods for publicly listed companies in Brazil.
Technologies Used: Pandas, Web Scraping, Flask, Vue.
INTERESTS
Financial Markets
Artificial Intelligence
Travel
Geopolitics
Foreign Languages
Technology
CONTACT