Research and development of end-to-end Generative AI projects using Large Language Models (LLMs) with a focus on text analysis, information extraction, information retrieval, and new text generation- Use of Prompt Engineering & Retrieval-augmented Generation (RAG)- Testing with various LLM models for experimentation and understanding of functionalities (Azure OpenAI, HuggingFace)- Practical experience with Python and other AI, Data Science, and NLP libraries- Development… Show more Research and development of end-to-end Generative AI projects using Large Language Models (LLMs) with a focus on text analysis, information extraction, information retrieval, and new text generation- Use of Prompt Engineering & Retrieval-augmented Generation (RAG)- Testing with various LLM models for experimentation and understanding of functionalities (Azure OpenAI, HuggingFace)- Practical experience with Python and other AI, Data Science, and NLP libraries- Development with LLM frameworks such as LangChain- CI/CD deployment with Vault for Streamlit applications and API (FastAPI)- Competent in data preprocessing, feature engineering- Application of Natural Language Processing (NLP) techniques for advanced text analysis- Skilled in using relational and non-relational databases (SQL, NoSQL) for efficient data extraction and data management- Participation in Generative AI research groups for the creation of new solutions through the development of projects.- English practice through conversations and presentations.Stack: Python, Generative AI Engineer, Data Science/Data Scientist, Large Language Models (LLMs), Prompt Engineering, Vector Database, NLP, API, Streamlit, Jupyter. Show less

End-to-end research and development (R&D) project creation in Data Science and Machine Learning for a big-tech company. Focus on synthetic data generation and Cognitive Computing by creating models to automate processes, optimize time, recognize patterns, and make decisions for clients.Activities:- Implementation of Machine Learning and Deep Learning models using Python (TensorFlow, scikit-learn, Keras)- Creation of pattern recognition models using Machine Learning, OCR, and… Show more End-to-end research and development (R&D) project creation in Data Science and Machine Learning for a big-tech company. Focus on synthetic data generation and Cognitive Computing by creating models to automate processes, optimize time, recognize patterns, and make decisions for clients.Activities:- Implementation of Machine Learning and Deep Learning models using Python (TensorFlow, scikit-learn, Keras)- Creation of pattern recognition models using Machine Learning, OCR, and NLP.- Synthetic data generation through Machine Learning models (GANs, VAEs).- Involvement in various areas of Data Science, Test Automation, and Data Analysis.- Data extraction, processing, and loading (ETL/ELT) for management use in internal analysis, decision-making, and better management using BI.- Utilization of relational and non-relational databases (SQL, NoSQL) for efficient data management.- Process refactoring with Python and code reconstruction with OOP.- Development of APIs using Flask/Django.- MLOps with Airflow for process orchestration and streamlined model deployment.- Presentations and communications in English with clients and the team.- Managing code versioning using Git (gitflow) and performing documentation creation and code reviews.- Application of agile methodologies (Scrum) in multidisciplinary teams using Jira/Azure DevOps TFS.- Internal development in various areas, including Data Science, AI, Natural Language Processing (NLP), DevOps (Docker, Kubernetes), Python (Back-end), SQL/NoSQL databases (Oracle, SQL Server, MongoDB) for data extraction and analysis, and Jupyter for interactive computing.Roles: AI Researcher · Data Scientist · Machine Learning Engineer · Data Analyst Show less

Participation in education projects, teaching classes in various areas at UFC and offering a mini-course on Digital Image Processing, and also acquiring project management practices and internal development.

Research and development of technologies in Python and Deep Learning for the differentiation of bee images, to be used in recognition and monitoring, with the aim of promoting the practice of pollination to reduce deforestation in agricultural areas.Production of a paper ranked as Best Paper (First Place) at the WCAMA event: https://sol.sbc.org.br/index.php/wcama/article/view/15733Activities:- Development of Artificial Intelligence technologies with a focus on Computer… Show more Research and development of technologies in Python and Deep Learning for the differentiation of bee images, to be used in recognition and monitoring, with the aim of promoting the practice of pollination to reduce deforestation in agricultural areas.Production of a paper ranked as Best Paper (First Place) at the WCAMA event: https://sol.sbc.org.br/index.php/wcama/article/view/15733Activities:- Development of Artificial Intelligence technologies with a focus on Computer Vision using Python.- Technologies used: Python (TensorFlow, Keras, scikit-learn, pandas, matplotlib, numpy)Emphasis on: CNN (Convolutional Neural Networks), Deep Learning ModelsRoles: AI Researcher, Computer Vision Researcher Show less