
Computer Engineering's student at University of Brasilia.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
pseudo-operating-system
April 18, 2021 – May 18, 2021
pseudo-operating-system — GitHub repository
View Projectjupyterlab_dev
October 21, 2020 – May 28, 2021
Dockerfile para gerar jupyterlab com instalações de dependências ODBC para funcionar conexão python->SQL Server
View ProjectleNER-Br
March 13, 2020 – March 24, 2023
Exploring the uses of model trained and develop by Pedro H. Luz de Araujo, Teófilo E. de Campos, Renato R. R. de Oliveira, Matheus Stauffer, Samuel Couto and Paulo Bermejo. As described in this article https://cic.unb.br/~teodecampos/LeNER-Br/
View Projectjvm
March 9, 2020 – November 15, 2020
An implementation of (some characteristics of) the JVM in C
View Projecttext_classification
February 20, 2020 – June 17, 2024
Developing a text classification using python
View ProjectSAS_studies
February 12, 2020 – March 25, 2020
Repo dedicted to store simple SAS code snipets used in projects or courses
View Projectpathfinding_algorithms_with_GUI
January 4, 2020 – August 16, 2021
Repo created to exercise some pathfinding algorithms and see their behaviour in real time using Pygame interface
View Projectmonta-dor
September 20, 2019 – October 21, 2019
Repositório do Primeiro Trabalho de Software Básico da Universidade de Brasília
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-directed learning and exploration across various technical domains, including low-level systems (JVM, pseudo-operating-system, monta-dor) and data science. This indicates a proactive and curious mindset. However, the projects are predominantly personal and lack explicit team collaboration or real-world business context, which might impact cultural fit in a collaborative corporate environment. The diversity of projects suggests adaptability but also a potential lack of deep specialization in a single area relevant to the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.