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