Felipe Cordeiro is a 4~5th semester Computer Engineering student in University Federal of Ceará - UFC. He is currently a researcher in AI in NUVEN laboratory and Data Scientist in AI4WELLNESS (Samsung) project by Insight Data Science Lab. He is Researcher at the Computer Systems Engineering Laboratory - LESC. Felipe Cordeiro is also experience mainly in research fields: Processing Digital Images, Pattern Recognition, Intelligent Systems and Computer Vision applied Driverless and Cars. He is also responsible for the data and software sector of the Welding Research and Technology Laboratory - LPTS. Hi, thank you for taking a look around my portfolio website. If you have any questions feel free to reach out on Github, LinkedIn or by Email!
CURRICULUM VITAE
Creating a plataform that receives TC or RM images and performs a series of pre-processings on them so that they can later be used for the segmentation, detection, classification tasks and cloud chosen by the medical users. Implementation of deep learning/machine learning advanced algorithms and tecniques to make manual and monotous jobs easier.
Use robust tecniques of Processing Digital Images, such as: Erode, Dilate, Gaussian Filter and Non-Gaussian Filters, Canny Algorithm. I was responsible for developing models for detection tasks using Deep Neural Networks and YOLOv8
Creation, Interpretation and Modeling of Machine/Deep Learning models. Using DevOps and MLOps concept such as kubernets e MLflow for creating complexs fluxograms
Responsible for lead the team for creating CRM plataform web with stock items using Angular with two backends - Node.js and PHP. Integration between JMATPro 13.3 and Python using API Restful.
Research in filed of autonomous and eletric driverless car, embbeded systems and control. Creating of algortihms in python for real time detection tasks using JETSON NANO, looking for the best combination between accuracy and speed. Fusing sensor of the sensor LiDAR and Stereo Cameras using MATLAB and ROS.
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SLEEPLESS NIGHTS - 2024
Optimization of tridimensional model VANTs from Generative Adversarial Networks as of sustainable materials using additive manufacturing using Fusion 360 software (license student). Paper submeted in University Meetings 2023 congress by University Federal of Ceará.
AI plataform that helps doctors with daily tasks.
