GUSTAVO GOMES

Machine Learning and AI Engineer

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About Me

Gustavo Gomes

I'm a Computer Engineering student at Instituto Mauá de Tecnologia with a focus on artificial intelligence and machine learning applications.

As part of my academic journey, I was a member of Dev Community Mauá, where I contributed as a backend developer. This experience allowed me to apply engineering principles to real-world applications and enhance my collaborative skills in a team environment.

My approach combines technical precision with creative problem-solving. I believe the most powerful AI solutions aren't just technically sound—they're intuitive, ethical, and designed with real human needs in mind.

Projects

Fraud Detection Solution

Credit Card Fraud Detection

A machine learning solution that identifies fraudulent credit card transactions. This project tackles extreme data imbalance, implements custom feature engineering, and provides model interpretability to explain detection decisions, making it suitable for real-world financial security applications.

Python scikit-learn XGBoost SHAP
NLP Sentiment Analysis

Sentiment Analysis

A sentiment analysis solution capable of classifying tweets as positive or negative with high accuracy. Built using Word2Vec embeddings and a custom Long Short Term Memory (LSTM) neural network, this project processes text data through a complete pipeline including cleaning, tokenization, and vectorization.

PyTorch Word2Vec LSTM NLP
Image Classification Solution

CNN Image Classifier

A deep learning image classification solution that accurately categorizes images into 10 different classes using Convolutional Neural Networks (CNN). This project implements a complete machine learning workflow including data exploration, preprocessing with augmentation techniques, model architecture design, and comprehensive evaluation.

Python TensorFlow Keras CNN Computer Vision
Portfolio Website

Portfolio Website

A responsive personal portfolio website designed and implemented from scratch using modern front-end technologies. Features a clean, professional design with smooth navigation, interactive elements, and a project showcase. Built with a focus on accessibility, performance, and user experience.

HTML5 CSS3 JavaScript Responsive Design
Medical X-Ray Finding Detection

Medical X-Ray Finding Detection

An advanced deep learning project applying YOLOv8 to detect 14 thoracic findings in chest X-rays from the VinBigData dataset. Features DICOM processing, model adaptation for medical imaging, and robust clinical validation metrics. Developed under zero-cost constraints, demonstrating a full MLOps pipeline from data to evaluation.

Python PyTorch YOLOv8 Computer Vision
MLOps Architecture for Anomaly Detection API

End-to-End Anomaly Detection API

A complete MLOps project demonstrating the full lifecycle of building, testing, and deploying a machine learning API. This system serves an Isolation Forest model via a FastAPI endpoint, containerized with Docker and automated with a full CIpipeline using GitHub Actions for testing and deployment.

Python FastAPI Docker Pytest GitHub Actions MLOps
Mauá Reservation

Mauá Reservation

A web platform developed as part of Dev Community Mauá that enables students and staff to reserve sports courts at the CEAF (Centro de Esportes e Atividades Físicas). The system includes an administrative interface for CEAF staff to efficiently manage reservations, approve requests, and organize scheduling.

Python RESTful API NoSQL Docker AWS Apidog
User Microservice

User Microservice

A specialized component of the Mauá Reservation platform responsible for user authentication, authorization, and profile management. Designed as an independent microservice to handle user-related operations.

Python RESTful API Microservices Authentication Docker AWS

Skills

Languages

  • Python
  • SQL
  • R
  • C
  • C#
  • Java
  • JavaScript

Deep Learning

  • Neural Networks
  • Convolutional Neural Networks
  • Sequence Models
  • LSTMs & GRUs
  • Attention Models
  • Transfer Learning
  • Hyperparameter Tuning

Machine Learning

  • Classification Algorithms
  • Regression Algorithms
  • Clustering Algorithms
  • Association Rules
  • Dimensionality Reduction
  • Reinforcement Learning
  • Time Series Analysis

Data Science

  • Data Preprocessing
  • Feature Selection
  • Statistical Analysis
  • Dynamic Data Visualization
  • Imbalanced Data Handling

Infrastructure & Data Management

  • AWS
  • Docker
  • SQL Server
  • NoSQL
  • Database Design
  • GitHub Actions

Main Libraries & Frameworks

  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • Keras
  • Matplotlib
  • Seaborn
  • PyTorch