Overseeing the 4D Radar and Personal Alert products, key components of our Perception stack for manned and autonomous operations.• Establish, communicate, and manage requirements to launch a new product – 4D Radar for heavy equipment fleet. • Work with internal and external customers to identify and rank needs and customer problems into business solutions. • Serve as a subject matter expert on safety for mining operations guiding the developers and Product Owner on creating solutions. • Oversee the current Personal Alert product, maintain customer satisfaction and plan the future direction

We are building the basis for the mines of the future. My job is to bridge the development and the application of our automous stack, mainly focused on the perception part.

- Led technology projects in mining industry, including technologies such ABB 800xA, Modular Dispatch, Hexagon and Wabtec Proximity Alert, Optalert and others Drowsiness Detection systems, Michelin MEMS Tires monitoring system...- Successfully managed the engineering stages and field implementation, ensuring timely and quality project delivery.- Effectively managed contracts, teams, and budgets.- Collaborated with cross-functional teams and different departments, including architecture, operations, maintenance, and safety.- Maintained strong relationships with clients, vendors, and stakeholders.- Continuously monitored and reported project progress, risks, and issues to stakeholders, ensuring transparency and timely decision-making.

- Software development for cutting-edge robotic projects in the mining industry, in collaboration with Vale, the world's largest iron ore mining company, and UFOP.- Conducted real-world proof-of-concept tests using both commercial and company-developed robots, under the ROS framework.- Evaluated various technologies, such as SLAM algorithms in open-pit mines, inspection of belt conveyors using mobile manipulators, drones and thermal cameras, and mapping of natural caves using a robot developed in-house (EspeleoRobo).- Integrated software and worked with different components, such as ABB and Schunk actuators, Hokuyo, Sick and Velodyne lidars, Kinect, Flir cameras, IFM time-of-fly cameras, Maxon motors and drivers, DJI and Parrot drones, and Mobile Robot platforms.- Collaborated with cross-functional teams, including mechanical and electrical engineers, to ensure successful project delivery.- Acquired a wealth of experience and knowledge in robotics and software development, which can be leveraged to tackle new challenges in the industry.

- Worked as a Udacity Project Reviewer, responsible for reviewing student project submissions and providing actionable and helpful feedback.- Assessed student work based on clear rubrics, ensuring fairness and consistency in grading.- Collaborated with other reviewers and mentors to continuously improve the quality of feedback and support provided to students.- Served as a Udacity Mentor, providing live support to students to help them better understand course content and projects.- Facilitated discussions, answered questions, and provided guidance to students, leveraging my subject matter expertise and experience.- Fostered a dynamic and engaging learning environment, promoting student success and satisfaction.- Acquired valuable teaching and mentoring experience, developed strong communication and interpersonal skills, and contributed to the growth of the online learning community.

- Worked with the CyberSecurity team to develop a system for filtering data leakage events using Machine Learning tools.- Gained knowledge about the cybersecurity field, its challenges, and the tools used.- Developed my Data Science skills by working on a real-world project and applying machine learning algorithms to solve cybersecurity problems.- Collaborated with cross-functional teams, including IT and Security, to ensure the successful implementation of the system.

- Served as an adjunct professor at the Department of Computer Science at UFOP.- Responsible for teaching the disciplines of Real-Time System Programming and Embedded Systems.- Developed and delivered lectures, supervised students' projects, and assessed their performance.- Fostered a dynamic and engaging learning environment, leveraging innovative teaching methodologies, practical examples, and real-world applications.- Engaged with students, addressing their questions and providing mentorship and guidance as needed.- Contributed to the academic community through research publications and presentations.- Acquired valuable teaching experience and developed strong communication, leadership, and teamwork skills through collaboration with cross-functional teams, including professors, students, and administrative staff.

- As a research assistant at UFOP, I participated in two different projects that utilized optimization and machine learning techniques for pattern recognition.- The first project focused on the automatic detection of cardiac arrhythmias in ECG signals, while the second project focused on the detection of faults in robotic welding processes.- Developed algorithms and conducted tests for both projects, ensuring their accuracy and effectiveness.- Wrote scientific articles describing the research findings and contributions made to the field.- Acquired valuable experience in machine learning and optimization techniques, which can be leveraged to tackle new challenges and advance my career in the field of research and development.- Contributed to the academic community through research publications and presentations, and developed strong collaborative skills through teamwork with cross-functional teams, including professors and fellow research assistants.