Luan Magioli
    Computer Vision / Software development / Artist / Capoeira / Machine Learning / Python / Education / Data Science / Technology / Art / Sketches / Music / Science / Engineering / Capoeira / Machine Learning / Python / Education / Computer Vision / Software development / Artist / Data Science / Sketches / Music / Technology / Art /
  • Hi there 👋

    • I'm Luan Magioli, a Computer Vision Researcher and Software Developer, with a passion for art and music.
    Capoeirista who finds joy in movement and culture. Embracing life with curiosity and enthusiasm 🌊


  • EDUCATION
  • 2023-discontinued
    Master's in Neuroscience (UFRN)
    Study in signal processing and machine learning with a focus on understanding behavioral patterns and neuroplasticity.
  • 2020-2022
    Systems Development Analyst (UFRN)
    Researcher, developing intelligent systems.
  • 2017-2019
    IT Technician integrated to high school (UFRN)
    Researcher, developing computer vision systems for agriculture.

  • MORE INFO
  • Location:
    Rio Grande do Norte/São Paulo, Brasil
  • Languages:
    Portuguese: Native
    English: Fluent
    Spanish: Intermediate
  • Youtube recommendations:

Professional timeline

  • Software Architect and Developer at LAIS

    As team manager, led the development of ANJO, an advanced system for monitoring patient vital signs. It was architected in Python, utilizing microservices with MQTT and gRPC communication, and employing ESP32 hardware with attached sensors. ANJO stands out for its efficiency and robustness.

    2022 to 2024

  • Neuroplasticity researcher at Brain Institute

    Developed a methodology for analyzing the behavior of mice during communication, using computer vision. Adapted the DeepLabCut model to work with our setup, and developed a system to predict which mouse was talking using the position of the microphones and the time of flight of the sound (basically a triangulation problem).

    2023

  • Digital Image Processing teacher at UFRN

    I was responsible for the discipline of Digital Image Processing, where I taught the theoretical foundations and practical applications of image processing. I developed a Java library for the students to use in their projects, and I also supervised the development of the final projects as Scrum Master.

    2023.2

  • Computer Vision Specialist at Potimarket

    Designed the architecture and implemented PotiQuality, a system for analyzing the quality of shrimp using computer vision. Tools used include openCV, TensorFlow, and Python GRPC. The system is capable of classifying shrimp by size and quality, and measure the weight of the animals.

    2021 to 2023

  • Full-Stack Developer at CAURN

    Contributed to the development of the CAURN health plan application, working on both the Flutter front-end and Java back-end. The project was developed using Scrum methodology, and I was responsible for the refactoring and integration of the API to the APP and the implementation of new features.

    2022

  • My software was 2nd place at Campus Mobile

    Recognized as a standout project in the Smart Farms category of the Campus Mobile Program, a prestigious national competition. I've got the opportunity to learn and implement OKR's, business management, roadmap design, team leadership, and to present my project to a panel of experts.

    2022

  • Software Architect and Developer at Proseed

    Actively participated in creating a computer vision framework with microservices architecture, using Java-Micronaut, GRPC, and openCV. The system was designed to be scalable and efficient, with a focus on real-time processing and high availability. It can be used in a variety of applications, such as quality control and monitoring systems.

    2020 to 2022

  • IT Intern at Instituto Santos Dumont

    Administered linux servers, performed active and preventive maintenance on computers and specialized equipment, and implemented a distributed processing service in Python.

    2020 to 2021

  • Tutor in Algorithms, Logical Reasoning and Digital Image Processing at Escola Agrícola de Jundiaí

    Tutor in the discipline of Algorithms, Logical Reasoning and Digital Image Processing in the context of remote education. I was responsible for the development of a gamification tool to assist in the learning process (and, of course, the classes themselves).

    2020 to 2021

  • Development of a new module in the acquisition stage for the Seedling Analysis System (SAPL®)

    The "Sistema de Análise de Plântulas" (SAPL) is a tool that enables automated seedling analysis to evaluate the quality of seed batches. It stands out for its precision and objectivity, compared to most of the tests traditionally used to conduct routine seed quality tests.

    2019 to 2020

  • Analysis, development and documentation of the Automated System for Analysis of the Tetrazolium Test in Soybean Seeds

    The project aimed to develop an automated system for the analysis of the Tetrazolium Test in soybean seeds. The system was developed using Matlab and Fuzzy logic, and was capable of classifying seeds as viable or not viable, based on the color of the seeds after the test. (Project presented at the Congress of Scientific Initiation 2019).

    2019

  • Development of the Automated System for Seed Analysis by Sieve using Digital Image Processing

    This study proposes an automated system for corn and soy morphology analysis using digital image processing. The system, which is faster than traditional methods, efficiently extracts seed descriptors and classifies them according to predefined shape classes.

    2017 to 2018