Guilherme das Neves Silva

5+ years of work experience with data science, machine learning and artificial intelligence; Work experience in traditional machine learning and deep learning models (regression, classification, clustering, recommendation system, anomaly detection, time series, NLP, transformers, computer vision), generative AI (LLMs), RAGs and agents (LangChain, LangGraph, LlamaIndex, Ollama); Work experience in ETL and preprocessing; Work experience in MLOps and monitoring models in production (MLflow, Control-M, Docker); Work experience in data analysis; Work experience in cloud computing (AWS, Azure, Databricks, GCP); Work experience in data visualization (Power BI, Tableau, Looker); Development of a RAG with Ollama and ChromaDB, using the open-source Llama 3.2 model, 30+ uses monthly; Solid knowledge in programation (python, SQL); Solid knowledge in machine learning, deep learning and generative AI (scikit-learn, TensorFlow, PyTorch, NLTK); Bachelor's degree in Computer Science with 4 specializations: machine learning, deep learning, natural language processing (NLP), and TensorFlow developer. I am very curious, determined, adaptable and easygoing. I am always open to new challenges. Deeply interested in research and applied science. Certifications: - Databricks Generative AI Fundamentals; - Databricks Lakehouse Fundamentals.