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Passionate about data, machine learning, and artificial intelligence, I have a strong background in backend, data science and data engineering. I specialize in developing APIs, implementing and deploying ML models, and building scalable data pipelines and ETLs on Google Cloud Platform (GCP) and Azure, ensuring compliance with LGPD. Currently based in São Paulo, Brazil, I work with large language models (LLMs) and big data architectures, leveraging cutting-edge AI techniques to process and analyze large-scale datasets efficiently. My expertise spans machine learning engineering, MLOps, backend development, and big data processing, integrating high-performance solutions into production environments. Additionally, I have experience with Infrastructure as Code (IaC), automating cloud infrastructure deployment to ensure scalability, security, and efficiency in machine learning and data engineering workflows. Technical Expertise ✔ Programming & Data Science: Python (Pandas, NumPy, TensorFlow, Scikit-learn), R (dplyr), SQL ✔ Big Data & Data Engineering: Scalable ETLs, distributed processing, data pipelines, API development ✔ MLOps & DevOps: Docker, Docker Compose, Linux Bash, Github Actions ✔ Cloud & AI Services: GCP (Vertex AI, BigQuery, Cloud Run, Datastore, Google Storage) ✔ Infrastructure as Code (IaC): Terraform, Ansible
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