Methodical Research Engineer with special expertise in pursuing patent opportunities in previously unexplored technology domains by submitting invention records and evaluating critical data. Proficient in the competitive intellectual property landscape. Offering knowledge in AI modeling, sensor fusion, application and smart machines development, deployment, and maintenance, combined with drive to deliver superior engineering services. Proven experience with recognized awards and peer-reviewed papers.
Accomplishments
RESEARCH AND DEVELOPMENT
Over 12 published peer-reviewed papers, 8 as main author, since 2020.
Two US patents since 2020.
AGROVIEW
Winner, ASABE AE50 2021
Finalist, 2020 Cade Prize
2020 Innovation of the Year, University of Florida
AGROVIEW: Member of the NVIDIA Applied Research Accelerator Program at the Community level
Development of the SmartSense system, a sensor fusion tool for smart tree sprayer machines with tree detection, health assessment, fruit count, yield prediction and disease detection using cameras, LiDAR, GPS and drone imagery.
Research Engineer, 12/2020 - Current Children's National Medical Center – Gaithersburg, MD,
Developing sensor fusion tools for machine and deep learning applications in autonomous and smart machines in agricultural fields.
Prototyping, testing and documentation of novel solutions to agriculture machines using machine and deep learning.
Drone imagery collection and processing for remote sensing applications.
Supervision of PhD students in AI modeling and machine prototyping.
Documentation of research through journal and conference papers in the field.
Graduate Research Assistant, 04/2019 - 12/2020 University Of Florida, Gainesville – City, STATE,
Using Machine Learning and Deep Learning algorithms applied to Precision Agriculture.
Developing yield prediction models using regression algorithms and deep-learning.
Development of smart machines for precision application.
Applying computer vision algorithms for crop phenotyping and assessment.
Developing Cloud-based applications for Precision Agriculture.
Consultant of New Projects, 07/2017 - 02/2019 Freelancer – City, STATE,
Project documentation for investors.
Market and competition analysis.
Projects in automation and robotics, including Smart Warehouses (HRC Metalização) and Auto-Guided Vehicles (Dell)
Education
Master of Science: Mechatronic Engineering, Expected in 12/2019 - University Of Sao Paulo - Sao Carlos, Brazil, GPA:
Collaborated in the structuring of the Master's research project.
Developed a stereo vision object detection and pose estimation algorithm in Python based on the Point Pair Features algorithm.
Evaluated different hardwares and software for point cloud generation: stereo cameras (Kinect V2 and Bumblebee 2), algorithms for RGB cameras (SLAM and Structure from Motion).
Applying the stereo vision algorithm and interaction control as input for a robot manipulator to complete a contact task, with a Kalman filter to process both vision and force data.
Tutored three undergraduate students and two graduation projects (Evaluation of fiducial markers for position detection, Macro-micro system applied for tasks in confined spaces).
Collaborated in the structuring and submission of a industrial project involving computer vision and cloud computing.
CAPES scholarship.
Bachelor of Science: Mechanical Engineering, Expected in 12/2016 - University Of Sao Paulo - Sao Carlos, Brazil, GPA:
Graduation project: Design of a macro-micro robotic system for contact tasks.
Development of the communications between multiple robots in different platforms using C++ and C#.
Implemented a path planning and interaction control for a macro-micro system.
Published at the 24th International Congress of Mechanical Engineering (COBEM)
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