Vitor Casadei

Spearheaded pioneering AI initiatives, including real-time sign language translation and an award-winning accessibility lipstick applier, driving significant social impact and innovation.

Developed and implemented sophisticated advanced analytics models, generating critical insights that guided organizational strategy and enhanced decision-making processes.

Directed end-to-end data science projects, from conception to deployment, ensuring alignment with key business objectives and successful delivery.

Mentored and guided junior data scientists, fostering their technical growth and ensuring high-quality project contributions.

Collaborated with senior management to define comprehensive data strategies, identify key data sources, and establish robust data governance standards.

Sign Language Translation in real time using AI: https://www.forbes.com/sites/angelicamarideoliveira/2023/08/09/lenovo-and-brazilian-innovation-hub-cesar-create-sign-language-translator-for-hearing-people-with-ai/

Accessibility lipstick applier with AI: https://forbes.com.br/forbes-tech/2022/06/grupo-boticario-cria-batom-acessivel-que-usa-inteligencia-artificial/

Led the "Data Science and AI" discipline for the Tech Lead - Technical Leadership specialization (2024.2 and 2025.1 classes), equipping emerging leaders with essential software engineering and innovation knowledge.

Directed the "Artificial Neural Networks and Deep Learning" discipline for the Data Engineering and Analysis specialization, consistently teaching for eight semesters (2021.1-2024.2).

Provided students with in-depth exploration of data value extraction, artificial intelligence, and machine learning, covering classical predictive models to advanced neural networks.

Defined and executed the company’s technology strategy and vision, aligning technological roadmaps with business goals to drive innovation and market competitiveness.

Led and managed multidisciplinary technology teams, overseeing hiring, mentoring, and professional development to cultivate a high-performing culture.

Oversaw the development and launch of two main products: SACI (Behavioral and Interaction Analysis System) and CUCa (Unified Feature Classifier), both AI and Computer Vision systems.

Transformed operational efficiency and automation by deploying SACI and CUCa, which analyze employee movement, activity duration, and identify/count objects on conveyor belts.

Managed technology budgets and infrastructure oversight, ensuring secure, scalable, and reliable systems while adhering to compliance and security best practices.

Led a team to upgrade the data pipeline, designing and overseeing the implementation of a new data architecture to align with new wellness programs and business objectives.

Developed and deployed advanced predictive models and algorithms to solve complex business problems and derive meaningful insights from large datasets.

Collaborated cross-functionally to understand business needs, developing data-driven solutions that directly supported strategic initiatives.

Mentored junior data scientists, providing technical guidance and fostering their professional development.

Designed and conducted experiments, utilizing statistical methods and data visualizations to validate hypotheses and effectively communicate insights to stakeholders.

Designed, built, and deployed robust machine learning models to address diverse business problems, selecting optimal algorithms and techniques for specific data challenges.

Managed end-to-end data pipelines, ensuring efficient data collection, processing, and analysis for ML tasks.

Continuously optimized model accuracy and performance through rigorous experimentation and tuning, enhancing overall system efficiency.

Provided technical leadership by mentoring junior engineers, conducting code reviews, and leading technical discussions to elevate team capabilities.

Collaborated with data scientists, software engineers, and product managers to seamlessly integrate ML models into products and services, ensuring scalability and deployment.

Lectured on UX Research, Distributed Networks, Sustainability, and IT classes, contributing to academic curriculum development.

Conducted research focused on mobile accessibility for Android devices, examining barriers to information access and enhancing usability.

Collaborated as an assistant to Dr. Luciana Zaina, supporting various research and academic projects.

Developed and deployed a Machine Learning model to accurately identify and count eggs on a conveyor belt, significantly enhancing industrial automation.

Created another ML model for counting people in crowds, providing critical data for various applications and contributing to new product offerings.

Constructed efficient data pipelines to process and manage data for machine learning tasks, ensuring high data quality and accessibility.

Optimized model performance through continuous refinement and experimentation, delivering accurate and efficient ML solutions that became commercial products.

Developed robust systems and solutions for a diverse client base, collaborating effectively with local and remote teams.

Participated in full-stack projects, encompassing both front-end and back-end development, ensuring comprehensive solution delivery.

Integrated web systems with mobile devices (Android and iOS), enhancing user accessibility and functionality across platforms.

Focused on innovation, excellence, and integrity, consistently achieving optimal results in a transparent and creative manner.

Gathered extensive data from Portuguese and Spanish forums, social networks, and news articles regarding automotive launches and user feedback.

Translated collected information into English and German to train an AI model capable of identifying user sentiment and feedback, enhancing market intelligence.

Monitored and strategically analyzed the automotive market, identifying key trends, issues, and product reception to inform strategic market solutions.

Prepared detailed reports on market conditions, competitor analysis, and sales performance, providing critical insights to senior analysts and internal stakeholders.