As a Partner and Chief Digital Officer focused on generative artificial intelligence in the market intelligence sector, extensive experience in leading innovative initiatives has been gained. The development of a unique, client-oriented product led to national recognition and significant investment, achieving a valuation of USD 20 million and underscoring the competitive importance within the American economy.

In addition to leadership in the tech industry, contributions to the Oncology Department at a leading hospital involve providing data and analysis for international publications, with notable participation in conferences such as ESMO in Switzerland and Madrid, and ASCO in Chicago.

Possessing a robust background in data and AI, qualifications include professional certifications as a Machine Learning Engineer and Data Engineer, with expertise in Python, SQL, LLMs, LangChain, LangSmith, Transformers, HuggingFace, PyTorch, TensorFlow, Pinecone, AstraDB, ChromaDB, Deep Lake, FAISS, Qdrant, PostgreSQL, MySQL, FastAPI, Docker, Google Cloud, Microsoft Azure Open AI, Nvidia NGC, Scikit-learn, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy, Numpy, Pandas, Polars, OpenCV, Mage AI, Kubeflow, Streamlit, Git, and GitHub.

A dedication to the AI and data community includes founding an AI hub at a local university, organizing meetings, training sessions, and events to facilitate knowledge sharing. The curriculum for AI and data courses is actively shaped while also creating monthly meetups for professionals in the field in collaboration with various entities.

Currently, exploration of opportunities to support the regional technology startup ecosystem is ongoing, including an in-depth study of the Itaú Cubo initiative to potentially implement a similar program with local academic and industry partners.