🚀 Machine Learning Engineer | MLOps Engineer
🌎 Building scalable ML systems for real-world applications

I'm a Machine Learning Engineer with a strong background in MLOps, distributed systems, and production-grade ML pipelines.

I hold a M.Sc. in Computer Science from UNICAMP, where I worked on Explainable AI and representation learning for Human Activity Recognition. Today, I focus on delivering scalable, data-driven solutions in production environments.

💼 Experience includes:

• Designing and deploying ML pipelines (batch & real-time)
• Building end-to-end MLOps systems (MLflow, CI/CD, monitoring)
• Working with big data (PySpark, Polars)
• Developing forecasting and optimization models for business applications

• Scikit-learn, Keras, TensorFlow, PyTorch, LangChain, HugginFace
• Time Series Forecasting
• Feature Engineering & Model Optimization

• MLflow, Model Deployment, Monitoring
• CI/CD, Experiment Tracking
• Docker, Kubernetes

• PySpark, Pandas, Polars
• Kafka (streaming)
• Large-scale data processing

• Azure (production experience)

📄 A benchmark for domain adaptation and generalization in smartphone-based human activity recognition
Nature Scientific Data

📄 Comparing LIME and SHAP Global Explanations for Human Activity Recognition
BRACIS Conference

• 💼 LinkedIn: https://linkedin.com/in/patrick-alves-0776921a7
• 📫 Email: tricksantos88@gmail.com

• Scaling ML systems in production
• Improving MLOps workflows
• Applying ML to real-world business problems
• Exploring LLMs and modern AI systems

⭐ Feel free to explore my repositories and reach out!