Caio Uehara Martins

Conducted research at Aarhus University’s Intelligent Systems Lab in the Department of Oral Health to explore machine learning applications within intraoral scanning workflows. Focused on replicating state-of-the-art 3D data analysis and automated tooth segmentation through international collaboration between Aarhus University and the University of São Paulo.

Scientific project focused on Health and Dental Data, aiming to develop innovative solutions with significant impact in the field. Our work involves advanced technologies such as fusion of multimodal data, AI process architecture, and ontology-based systems. (https://inredd.com.br/) • Developed and maintain a 2D/3D visualization portal and patient management system to integrate multimodal dental data. • Develop and maintain Kubernetes clusters to scale deploy tools and keep ML training workflows. • Conducted studies in computer vision and machine learning to automate dental diagnostic workflows. • Presented research at congresses regarding AI health applications, Computer Vision, ML Techniques.

Collaborated with the QA Brazil team to design and scale evaluation frameworks for the rigorous testing and validation of self-driving vehicle software. • Engineered and maintained a Python-based automation module to generate comprehensive performance assessments, providing stakeholders with critical data to monitor R&D progress and software stability. • Curated and categorized driving scenarios to test the quality of the internal metrics, ensuring safety and reliability across diverse edge cases. • Did health monitors and sanity checks, significantly improving the reliability of the testing pipeline. And, actively identified and resolved critical bugs of the internal tools.

Successfully helped to finish the integration of the organization into the São Carlos Junior Company Network (Núcleo São Carlos), ensuring the enterprise's long-term growth and regional recognition. • Established the foundational culture across internal departments—Commercial, Development, Finance, and Marketing— to ensure a leadership transition for the next generation of students.

Launched the Computer Science Junior Enterprise at the USP Ribeirão Preto campus. • Developed the institutional formalization process to establish a legally recognized entity within the University of São Paulo ecosystem. • Built the initial operational and recruitment strategy, assembling a initial team of students to deliver high-quality web development services to local businesses.

Manage the end-to-end deal flow process, managing relationships with incoming founders and overseeing all stages of the funding round, including Pitch Days and Due Diligence. • Led the digital transformation of the network by implementing Dealum, integrating it into the existing funding pipeline to streamline communication, deal tracking and archiving. • Total of $100k+ funded in annual investment contributions, coordinating between angel investors and high-potential startups to close successful funding rounds.