With 15+ years of experience in Data and Software Engineering, I specialize in building cloud-native data platforms and Machine Learning/AI solutions at scale.
🚀 Currently, I work at Itaú Unibanco as a Senior Machine Learning Engineer, where I focus on delivering robust, scalable, and intelligent AI systems.
My work combines data engineering, machine learning, MLOps, generative models, and intelligent agents, always with a strong focus on observability, automation, and performance.
- Languages: Python, SQL, Bash, Java
- Amazon AWS: SageMaker, Bedrock, Lambda, Glue, EMR, Kinesis, Athena, S3, ECS
- GCP: Vertex AI, BigQuery, Colab, AgentSpace, Composer (Airflow)
- Machine Learning: TensorFlow, PyTorch, Scikit-learn, XGBoost
- LLMs & Agents: LangChain, LangGraph, CrewAI, RAG, Embeddings, Vector Datases, MCP, A2A, ADK, RAGAS.
- 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.
- 📊 Finance & Advanced Analytics – Recommendation systems, reinvestment simulations, stocks, inflation, salary vs cost of living.
- 📊 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.