Pedro Gabriel Amorim Soares

Email: pedrogabrielbhz@gmail.com

GitHub: PedroGabrielBHZ

Website: My Website

Education

Computer Science BSc - Pontifícia Universidade Católica de Minas Gerais (PUC MG)

Previous studies in Computational Mathematics at UFMG (2019-2022)

Exchange Program - Université Gustave Eiffel (ESIEE Paris, 2024-2025)

  • Cybersecurity, Cryptography & Communication Security
  • Algorithms, High-Performance Computing, Computer Vision
  • Mathematical Optimization and Graph Theory
  • French Language and Culture

Professional Experience

Software Engineering Intern - VulcaNet

2022 | Remote, Campinas, SP

  • Scalability and performance improvements in distributed VoIP and messaging systems.
  • Microservices in Python and TypeScript, applying DDD and CQRS patterns.
  • Refactoring ORM integration (SQLAlchemy + GraphQL).
  • Agile practices, Git, CI/CD tooling and monitoring setup.

Research Assistant - DCC / MPMG Analytical Capabilities Program

2021

  • Algorithm development in Python/Spark for pattern mining in public data graphs.
  • Technologies: Docker, MySQL, PySpark, ArangoDB, JanusGraph.

Volunteer Researcher - DCC

2021

  • Worked in Google's Latin America Research Awards project on Covid-19 survival factors.
  • Published in "Intelligent Systems" by Springer, presented at BRACIS.
  • AI modeling, high-dimensional data optimization, Python development.

Volunteer Researcher - FACE

2019-2020

  • Prediction of insolvency of Brazilian health insurance providers using AI.
  • Data visualization and exploration (Pandas, Matplotlib, Plotly).
  • Classification models and genetic algorithms (DEAP, scikit-learn, TensorFlow).

Research Intern - ENACOM

2020

  • ML models for failure prediction in industrial processes (Python, feature engineering).
  • Development of real-time adaptability systems.

Research Intern - UNIGOU Program (Czech Technical University)

Jan-Feb 2020 | Prague

  • Experimental research on human video quality perception and its impacts on critical tasks.
  • Applied statistical methods and presented results academically.

Courses

  • C++ Nanodegree, Udacity (2022)
  • Neural Networks and Deep Learning, Coursera (Andrew Ng, 2020)
  • Python for Machine Learning and Data Exploration (2019-2021)

Languages

  • English – Advanced (TOEFL iBT: 107/120)
  • French – Intermediate (Exchange program in France)
  • German – Basic (Cultural Exchange, Berlin 2018)

Extracurricular Activities

  • Club Musique: Musical performances and piano lessons.
  • Club Photo: Creative photography projects.
  • Club*Nix: Open-source advocacy, Linux Installfests.