👋 Hi, I'm Pablo Santos 👋

With 15+ years of experience in Technology, I specialize in building scalable Data and AI-driven Machine Learning solutions.

🚀 Currently, I work at Itaú Unibanco as a Machine Learning Engineer, where I focus on delivering robust, scalable, and intelligent AI systems.

My work combines software/data engineering, machine learning, MLOps, generative ai models, and intelligent agents. Always with a strong focus on performance, automation, and observability.

🔧 Tech Stack

• Languages: Python, SQL, Bash, Java
• LLMs & Agents: LangChain, LangGraph, Google ADK, RAG, Embeddings, Vector Datases, MCP, A2A.
• Machine Learning: TensorFlow, PyTorch, Scikit-learn, XGBoost
• Amazon AWS: SageMaker, Bedrock, Lambda, Glue, EMR, Kinesis, Athena, S3, ECS
• GCP: Vertex AI, BigQuery, Colab, AgentSpace, ADK.
• Orchestration & Workflow: Airflow, Kubernetes, Spark, Pyspark.
• DevOps & Infra: Docker, Terraform, GitHub Actions, CI/CD

📌 Interests

• 🤖 Multi-Agent Systems – collaborative architectures, advanced architectures involving Small-Large Models (sLM), retrieving, memory, and context management.
• 🔍 LLM Observability – prompt monitoring, evaluation metrics, performance, guardrails.
• 📊 Neural Networks – Deep learning, Reforcement learning, GPU Parallel Processing, High-performance computing, CUDA/NVIDIA.

⭐️ My Certifications and Badges

• AWS Certified Machine Learning - Specialty

• Itaú - Professional Data Engineering

• All my Credly Badges

• All my Google Cloud Skills Boost badges

📈 GitHub Stats

🌐 Connect with Me

• 💼 LinkedIn
• 🐙 GitHub

⭐️ Always exploring how to merge Machine learning, data, software engineering, generative AI, and distributed systems to create scalable, intelligent, and creative solutions.