Director of Technology, supervising research and development of robotic solutions, automation, software and AI.

Consultancy in technology for software development, robotics and automation of subsea and industrial applications.- Software development (C#, Python, Unity) for desktop applications, automation and robot control- R&D management, project writing and application of new technologies in existing or new products- Requirement analysis for mobile robots and automation systems applied to industry (oil&gas, food, automotive, energy, agriculture)

Research and Development of software and automation systems for subsea applications in Oil & Gas and Energy industries.- Video acquisition and processing (RGB, Sonar)- AI and Computer Vision applied to underwater images- Automation and control for sensors and subsea robots

Worked as a software developer, data analyst and researcher, leading technical teams in the development of products, prototypes and proofs of concept. Responsibilities:- Mentor and lead multiple teams of software developers and analysts- Code computer vision algorithms for quality inspection in industry based on data analysis- Review code from other developers in the team- Build automation and control systems for integration with industrial production lines- Research and apply new methods and technologies in computer vision and AI- Design and build software architecture of new productsTools:- C++, Python, Git, VS, VSCode, PyTorch, QtAutaza projects I worked on:- Aero: Aircraft visual inspection with autonomous drones- Paint: Automotive visual inspection of paint defects inline- Color: Color matching with RGB cameras- Glass: Float glass distortion analysis

Worked as a software developer, data analyst and researcher, leading technical teams in the development of products, prototypes and proofs of concept. Responsibilities:- Mentor and lead multiple teams of software developers and analysts- Code computer vision algorithms for quality inspection in industry based on data analysis- Review code from other developers in the team- Build automation and control systems for integration with industrial production lines- Research and apply new methods and technologies in computer vision and AI- Design and build software architecture of new products

Worked as a software developer for the Autaza Glass and Color projects. The Autaza Glass is a camera-based solution for defect detection (optical distortion) on float glass, using reflection and refraction of light on a sample piece. Autaza Color is an RGB camera-based solution to measure and compare colors from automotive paint samples. It used colorimetry and spectrophotometry concepts to acquire images from two samples and calculate the difference using Delta E formula. As a developer, I had the opportunity to work on the application backend and on the image processing algorithms. I also helped the team on requirements engineering, research, documentation, testing and validation of the products with stakeholders.

Worked as a software developer for the Autaza Aero project. The Autaza Aero is a solution for damage detection on the exterior of aircraft based on analysis of images acquired by drones. As the main developer, I had the opportunity to co-design the architecture of the desktop software and to create algorithms to load data from the drone into the application, process the data, detect damages using image processing and computer vision techniques, and generate a report with detected damages and their location on the aircraft body. Tools:- C++, Git, VS, VSCode, Qt

Software engineering in the Autaza Paint product, a software and robotic solution for Automotive Paint Quality Inspection.In the automotive industry, there are several processes for quality inspection to guarantee the quality of the vehicle before delivering it to the final client. The car paint is a critical part, where any defect is easily noticed by the client and has to be repaired before final delivery. In this stage of the project, I worked directly with the team that developed the image processing and computer vision algorithms to identify these defects. The data acquisition process uses a proprietary imaging equipment that is installed on an industrial robotic arm. The acquisition process is automated, and the acquired images are processed in real time to identify defects, such as dirt, bubbles, scratches, orange peel.During this time, the team also developed the integration of software and industrial automation systems. The synchronization between robot control, image acquisition, image processing and report generation was critical for the system to operate in real time during production without delay.

Received scholarship for scientific research (DS - CAPES) as a master's student.

Received scholarship for scientific research (PIBIC - CNPq) as a bachelor's student.

Worked as a Digital Circuits Developer as a Mechatronics technician.