Percy Cubas Email & Phone Number

Trujillo, Pe

Lima, Perú

𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Web platform for the administration of customs orders for Maersk, Peru branch1. The client for the project was Maersk.2. Led a team of 3 people in expanding the website for balancing and visualizing bank transfers between the BCP account and the cash box of Maersk, Peru branch.3. Implemented APIs as microservices using Python, Django, and Azure for document storage, order editing, incident reporting, and order creation.4. Integrated workflows into the backend system (ExpressJS) for viewing export and import orders, incidents, and shipping documents.5. Integrated a menu into the frontend system (ReactJS) for order creation.6. Integrated the use of access tokens in the frontend system (ReactJS) to resolve performance issues.7. Maintained the frontend system (ReactJS) for viewing import/export orders, document 8. visualization, order details, and incident viewing.9. Managed the PostgreSQL database, executing tasks such as table creation, data integration, and data querying.

• Published SCOPUS level papers based on my experience at international congress: INTERCON-2023, ANDESCON-2022 and IROS (AgRobotics Workshop).𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Development of a Computer Vision System for Artichoke Seedling Classification Using CNNs1. Designed a computer vision strategy to classify artichoke seedlings in a robotic system using CNNs and MLPs.2. Implemented the designed strategy using PyTorch, Python, OpenCV, and YoloV7.3. Labeled 200 images of artichoke seedlings for segmentation using Roboflow.4. Trained YoloV7 for segmentation and detection on Google Colab.𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Development of a Computer Vision System for Blueberry Detection in a Mobile Robot Using ROS-Noetic and CNNs1. Designed a computer vision strategy for detection, counting, and classification using CNNs for a mobile robot.2. Implemented the strategy using YoloV8, YoloV5, and MaskRCNN on a Jetson Xavier platform with a ZED stereo camera using Python, Ultralytics, OpenCV, ROS, and zed-sdk.3. Labeled 600 images of blueberries in agro-industrial environments obtained during visits to the Danper agro-industrial farm.4. Trained the YoloV8, YoloV5, and MaskRCNN models for detection and segmentation using Google Colab.5. Configured the ZED2i camera using ROS-Noetic with StereoLabs libraries.6. Set up RViz and Gazebo for inspecting blueberry detection and camera information such as pose, point cloud, and camera trajectory.7. Published and presented 5 SCOPUS-level articles based on my experiences at two international science conferences: INTERCON and ANDESCON.𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Redesign and Optimization of an Optosensor Based on PPG Signals for Measuring Hemoglobin in Arterial Blood1. Developed a processing strategy for PPG signals.2. Implemented stages of analog and digital signal processing for validation.3. Programmed bandpass and low-pass digital filters on an Arduino microcontroller using C++.