About Me

AI Engineer / Machine Learning Engineer (Freelancer)

Lisnen (Toronto, Canada) – Audio / Sound Recognition

• Designed and trained audio classification models with CNNs and pretrained embeddings (YAMNet, PANNs) using TensorFlow/Keras.
• Built robust audio preprocessing pipelines with Librosa and Audiomentations, improving generalization in real-world acoustic environments.
• Optimized inference pipelines for TensorFlow Lite deployment on edge devices, reducing latency while maintaining accuracy.

🔹 Impact: Enabled real-time sound recognition on resource-constrained devices.

Revelo (USA) – End-to-End ML Pipeline / Traceability

• Developed ETL, feature engineering, model training, and deployment pipelines for analytics and traceability.
• Ensured reproducibility, monitoring, and seamless integration with downstream systems.

🔹 Impact: Delivered production-ready ML workflows supporting reliable analytics and decision-making.

Angelina (Fiverr, USA) – Sentiment Analysis (NLP)

• Built NLP sentiment analysis models using transformer embeddings (BERT/GPT-style).
• Processed noisy and imbalanced text data; delivered production-ready inference pipelines.

🔹 Impact: Provided actionable insights from customer feedback and textual data.

Machine Learning Engineer (Intern) - BrainInnov

• Built 3D CNN models (DenseNet, ResNet, Attention variants) for medical imaging using PyTorch and Optuna for learning rate optimization.
• Developed preprocessing pipelines for 3D DICOM CT scans using SimpleITK and MONAI, with class-aware augmentation.
• Enhanced interpretability with Grad-CAM and improved evaluation with F1/precision-recall metrics.

🔹 Impact: Delivered scalable 3D AI pipelines for lung nodule detection supporting clinical research.

Python Developer/Data Engineer - Globant

• Designed and maintained ETL pipelines with Python, Azure Data Factory, and Jupyter Notebooks.
• Managed large-scale data lakes with AWS Glue, Athena, and S3, delivering analytics-ready datasets.
• Mentored team members, improved code quality, and streamlined cross-team workflows.

🔹 Impact: Delivered robust and scalable data pipelines supporting enterprise analytics and machine learning workflows.

Full Stack Developer (Python / Flask) - Radix

• Built inventory monitoring applications with Python, Flask, jQuery, and Databricks.
• Processed large-scale data with PySpark, integrating business rules into transformation pipelines.

🔹 Impact: Improved inventory visibility and operational efficiency for retail clients.

AI Backend Developer - Portal Telemedicine

• Integrated AI diagnostic outputs into clinical systems using Python, Django, Docker, and Kubernetes microservices.
• Developed REST APIs for AI heatmaps and dashboards (Django REST Framework, Vue.js).
• Automated data pipelines on GCP (BigQuery, Data Fusion, Cloud Storage, Looker) to improve clinical workflows.

🔹 Impact: Delivered production-ready AI backend solutions enabling real-time telemedicine diagnostics.

Full Stack Developer (Python / Django) - Softplan

• Developed a Django-based web application for managing court processes (Python, Django, PostgreSQL), deployed on Heroku.
• Maintained legacy systems and contributed across the project lifecycle from design to deployment.

🔹 Impact: Delivered scalable web applications improving legal operations and backend reliability.

AEC Machine Learning and Artificial Intelligence

College LaSalle

MBA in Information Technology Governance

University Center - ICESP

Degree in Data Processing Technician

Union Education of Brasilia - UNEB