As the leader of the Computer Vision team, I successfully directed the development and deployment of three AI-driven solutions from scratch within two years, significantly solving real-world problems in factory environments. My leadership in creating state-of-the-art computer vision systems has notably improved production efficiency. I also designed advanced multi-modal 3D and 2D systems, greatly enhancing system capabilities. Furthermore, I pioneered the development of a robust artificial vision AIoT platform tailored for industrial applications, utilizing a Scrum framework to ensure agile and effective project execution.

I have led major technology initiatives and projects that leverage my deep expertise in AI and computer vision to bring early-stage ideas into projects with high TRLs and traction. Key projects include:* CosmoMind: Spearheaded the development of an Earth Observation Platform tailored to aid ulnerable communities, enhancing their resilience through technology.* QSentinel: Led the technical development of a Video Management System utilizing AWS microservices, focusing on advanced video analytics and surveillance solutions.* Trust in Space: Initiated and co-founded a blockchain-based community for space navigation, which facilitates secure data sharing among Space Operators and Earth Observation systems, fostering collaboration in space technology.* GeNFTs: Co-created an innovative project that merges genetics with blockchain technology, producing Non-Fungible Genetic Tokens from the DNA of endangered species, thus promoting biodiversity awareness and digital art exploration.

As the only Computer Vision guy in the team, I had the pleasure to plan, design, implement and put into production multiple projects in a short time. Some achievements include:* Argus Project Leadership: Spearheaded scene understanding initiatives, enhancing autonomous vehicle capabilities through advanced object detection and segmentation models.* Innovative Dataset Development: Created comprehensive datasets for object detection, improving AI-driven tasks in European autonomous vehicle environments.* ROS Enhancements: Developed ROS submodules for automatic labeling with panoptic segmentation and 3D image processing, significantly boosting data processing efficiency and accuracy.* Advanced Image Segmentation: Devised a novel approach for interactive image segmentation, greatly enhancing processing speed and accuracy.* Embedded Systems and Compliance: Executed projects using TensorFlow Lite and classical machine learning on embedded systems, maintaining alignment with GDPR and CNPD standards.

In under three years at the Brazilian Institute of Robotics (BIR), I developed 6 innovative computer vision solutions for high-profile companies, significantly enhancing their operational efficiencies and technological capabilities. Key projects include:* Geonosis Project (Vale Institute): Applied computer vision for a mobile robot with LiDAR, RGB and hyperspectral cameras for mineral analysis in open-pit mines, automatically detecting and measuring mineral concentrations in earth walls (real-time and accuracy >95%).* Kamino Project (Vale Institute): Improved safety in mines with an intelligent vehicle system that assists in low visibility, leveraging advanced calibration and real-time segmentation techniques. (real-time and accuracy >90%).* Concrete Flow Measurement (Votorantim S.A.): Devised a system to accurately measure concrete volumes using computer vision, optimizing material handling with low latency. (real-time and accuracy >95%).* Battery Assessment (Smart Company): Automated Samsung battery quality assessment using deep learning, enhancing precision in production lines (real-time and accuracy >95%).* Development of a real-time AI system to track and prevent bird collisions with antenna cables using high-resolution video analysis (real-time and accuracy >95%).

Selected for a prestigious collaboration at IVision Lab during my Master's studies, I engaged in groundbreaking research focused on Smart Cities and Intelligent Transportation Systems. My technical contributions were integral to enhancing detection accuracy and efficiency in various applications, and my efforts culminated in the publication of three papers in prestigious journals and conferences. The projects were:* Advanced Object Detection for a submarine: Developed an state-of-the-art technique for rotated bounding-box estimation in underwater sonar images, enhancing detection accuracy for submarine navigation.* Intelligent Traffic Management: Implemented deep learning strategies, improving traffic management systems through enhanced object detection and segmentation from RGB cameras.* Dental Imaging Innovation: Assisted in creating a dental imaging system using instance segmentation techniques and developed a versatile tool for generating synthetic datasets from 3D models.

Manage and control projects:* Jan 2012 - Sep 2013 (at PB&CIA LTDA)* Sep 2013 - Feb 2014 (at Consorcio MK)* Feb 2014 - Dic 2015 (at GIP SAS)

Design and develop the SGPUIS; a system to manage projects based on the PMBok. JAVA EE