- Proactively spearheaded the integration while concurrently mastering Generative AI and Large Language Models (LLMs).- Directed an AI R&D team in devising a suite of components, transforming the product's efficiency within the organization. This journey spanned from identifying opportunities to shaping the architecture and fostering continuous enhancement.- Fine-tuned and deployed open-source LLMs for large scale projects, ready for production.- Crafted a data-driven AI testing framework using advanced statistics, enabling us to monitor the product's tangible impact on client productivity and efficiency, and precisely quantify improvements pre- and post-implementation.- Presented demonstrations of the product and negotiated a feasible strategy for more than 10 different VPs and stakeholders.- Helped as a creator and advisor for projects for companies such as AB-Inbev (BEES), Audi and various financial institutions.

As a DPM in a project from a multinational beverage and brewing company, I'm responsible for:-Develop and communicate data product vision and strategy: Align with the organization's overall strategy and objectives, and identify opportunities for leveraging data and analytics to create competitive advantages.-Maintain a data product roadmap: Outline the development timeline, milestones, and objectives, regularly reviewing and adjusting based on changing business needs, user feedback, and market trends.-Collaborate with cross-functional teams: Work closely with data scientists, engineers, designers, and business stakeholders to ensure that data products meet user needs and generate value.-Define and prioritize product features and enhancements: Balance short-term and long-term goals, managing trade-offs between technical constraints and resource limitations.-Oversee end-to-end development process: Coordinate with development teams to ensure timely delivery of high-quality, scalable, and reliable data products.-Ensure user-centric design and optimize user experience: Collaborate with architects to create intuitive products and maximize user satisfaction.-Establish and monitor key performance indicators (KPIs): Measure the success of data products and make data-driven recommendations for improvements and adjustments as needed.-Manage rollout and change management: Ensure that relevant stakeholders are informed and prepared for new products and features, providing training, documentation, and support to facilitate smooth adoption.-Encourage continuous learning, improvement, and innovation: Stay abreast of industry trends, emerging technologies, and best practices, identifying opportunities for product enhancements and process optimizations to maximize the value of data products for the organization.

Data scientist responsible both for research and development and for ensuring the success of deep learning pipelines in production.Focused on the leadership of a data science project, managing the data pipeline and the algorithms that will be responsible for the evolution of a call list.Main tools: Azure Databricks, Azure Machine Learning and other tools from the Azure Portal.In the past, I worked in a project focused on artificial intelligence for health, working with large-scale image processing, integrated gradients and XAI (explainability) with the aid of heatmaps - with techniques such as GradCAM - to ensure that the customer's product is not biased and have justice. Within the routine is the reading of papers on the topic, implementation and collection of metrics such as Intersection Over Union (IoU) to verify the performance of the neural network compared to the ground truth bounding boxes.Main tools: Linux, Python, OpenCV, Tensorflow, Keras, PyTorch, Colab by Google, PyTorch, Pandas, MATPLOTLIB, Flask, Scikit-Learn, Cuda, RabbitMQ and Google Cloud Platform - AI Platform, Kubernetes, Compute Engine, BigQuery, Storage and more.Use of Kanban methodology.I was also responsible for data extraction, data cleaning and transformation,involved in a project focused on the international beverage market (ABInBev). I participate in a critical process for the data science pipeline, involving recommendation techniques and data analytics, being in contact with customers spread across the world and different cultures.Main tools: Talend (ETL software), Microsoft SQL Server, Pandas, Python.Use of Scrum methodology.

Community focused on democratizing data science and machine learning.

Leader of the first artificial intelligence team. Focused on bring value to the product and directing the team to the delivery of the project, sharing the knowledge and assisting in the development of the tasks and their accomplishment. Responsible for the project architecture, data preprocessing, model evaluation, construction of best practices guideline for the company. Use of Neural Networks for Language Processing and Sentiment Analysis.Main tools: Linux, Python, Word2Vec, ULMFiT for Transfer Learning, Jupyter Notebook, Tensorflow, PyTorch, Keras, Pandas, SciPy, Spacy, NLTK, MATPLOTLIB, Flask, Scikit-Learn, AWS, Colab by Google, Cuda.Use of CRISP-DM and Scrum methodologies.

Engagement with the customer from meetings to understand their pain to the presentation of the final solutions, being responsible not only for product development but also to narrowing relationships.I try to bring to the company aspects related to Industry 4.0 and Innovation - Artificial Intelligence, Chatbots, Machine Learning and Cognitive Computing - being attentive to the latest technologies that has great power to impact business and improve people's lives, improving products and experience. Construction of ASP.NET MVC technologies, Web API, Typescript and application of design patterns and SOLID principles, with project management based on Scrum methodology and code management with Team Foundation Server. In addition to the work that determines my role, I work on the company's ongoing evolution with two different projects:-Talent Training: responsible for the preparation of a workshop to be shared with the new trainees, preparing them to become great professionals.-Viceri Learning: seeks to disseminate knowledge within the company.

Participation in the transition from several legacy projects to latest and current technologies.In all projects, design patterns and SOLID principles were applied, adding quality and clean code to the development.Analysis of software requirements, construction and maintenance of systems in Windows Forms, Web Forms, Web Services and API Rest, using C # and Javascript languages.Participation in one of the first projects to implement unit tests, using the Moq, Code Coverage and Report Generator frameworks.Data maintenance using SQL Server and Oracle, with project management based on Scrum methodology and code management with Team Foundation Server.

Documentation development, solution building and interaction with financial industry.Solutions designed in Windows Forms and Web Forms, using C # and Javascript languages to develop new systems and maintenance of legacy solutions important to the industry operation, with code management and integration between the team with the Team Foundation Server tool.For the maintenance of the data was used SQL Server and the management of the projects made use of the Scrum methodology.

Acting on several fronts of the software development cycle, moving between the relationship with the customer and the development of the products.Responsible for analyzing and collecting requirements with large multinational companies, attending meetings with clients and finding ways to optimize their results and bring, through technology, the solution for their business and position in the market.Use of ASP, JavaServer Pages, JavaScript and jQuery technologies, focused on web development.Data maintenance performed through the SQL Server database, using XP methodology for project management.