David Antonio Brum Siepmann Email & Phone Number

State Of Paraná, Brazil

Toledo, Paraná, Brasil

In my current role, I work as the lead developer in the development of an embedded sensor for an innovative selective spraying system. I stand out for the effective implementation of computer vision directly into embedded systems, utilizing artificial intelligence on Jetson Nano to achieve real-time recognition in less than 20ms.Development of the Selective Spraying Sensor: I participated in the complete development of the embedded sensor, from conception to implementation. The practical application of computer vision and AI allowed for the creation of an efficient system, independent of internet connectivity, essential for operations in locations with connectivity challenges in Brazil.Mechanical Integration and Practical Testing: I actively participated in the mechanical integration of PCBs into the devices, optimizing the layout to ensure reliable performance. Additionally, I am involved in practical field testing, ensuring the system's effectiveness in real-world environments.Collaboration in GUI Development: In the area of GUI development, I made significant contributions to creating an intuitive and effective user experience. I worked closely with other team members to design and implement an attractive and functional GUI, using technologies such as Raspberry Pi, QT, and QML. This allowed operators to monitor and control the system easily and efficiently, contributing to better usability and productivity.My contribution to this innovative project reflects my commitment to developing cutting-edge solutions in embedded systems, combining electronic engineering, computer vision, and artificial intelligence.

Toledo, Paraná, Brasil

I played a key role in developing software for a line guide sensor project aimed at correcting hydraulic weeder in soybean or corn crops. My contribution encompassed the implementation of various cutting-edge technologies, including Jetson Nano, C/C++, embedded Linux, OpenCV, and classical computer vision, as well as the application of AI models for semantic segmentation.My primary responsibility involved developing robust and efficient software using Jetson Nano as the reference platform, aimed at real-time recognition of planting lines. This required writing C/C++ code to ensure compatibility and effectiveness in embedded systems.Additionally, I led the integration of various technologies, such as OpenCV and AI models, to perform semantic segmentation of images captured by the stereo camera. This integration was crucial to ensure accuracy in identifying planting lines, even under adverse conditions.In the development of user interfaces, I spearheaded the creation of intuitive interfaces using Raspberry Pi, LVGL, and SQLite. These interfaces were meticulously designed to provide a simplified user experience, allowing operators to monitor and adjust system settings effectively and efficiently.Throughout my involvement in this project, I maintained close collaboration with other team members, contributing to the design and implementation of innovative solutions tailored to the specific challenges of the agricultural sector. My primary commitment was to ensure that the software developed fully met the client's needs and contributed to enhancing the efficiency of agricultural operations.

Toledo, Paraná

I played a key role in an innovative project to develop devices for monitoring poultry farms in real time. During this period, my work covered several areas, consolidating my experience in embedded systems and electronic engineering.Multifaceted Firmware and Hardware Development: Participated in firmware and hardware development on multiple platforms including ESP32, ARM, AVR and Raspberry Pi. This multifaceted approach has enabled the successful implementation of devices for real-time monitoring.Implementation of RTOS Systems and LoRaWan Technology: Developed embedded firmware, implementing real-time operating systems (RTOS) to optimize device performance. Additionally, I have integrated LoRaWan technology for efficient wireless communication.PCB Development and Rigorous Testing: Actively contributed to the development of printed circuit boards (PCBs) to ensure robust functionality of devices. I performed rigorous testing on hardware and firmware, applying data analysis to ensure reliability and accuracy.Mechanical Integration and Automated Testing with Embedded Linux: Participated in the mechanical integration of PCBs into devices, optimizing the layout for effective implementation. Developed automated tests using embedded Linux to ensure consistency and quality of the final product.This diverse and comprehensive experience solidified my technical and practical foundation in embedded systems, preparing me for more complex and innovative challenges in the field of electronic engineering.

Montagem de componentes mecânicos para sopradoras térmicas.

Toledo, Paraná, Brasil

Efetuar vendas de materiais de construção civil, auxiliar no setor administrativo na organização geral de documentos, efetuar cobranças, auxiliar no caixa, organizar a disposição dos produtos internamente e no estoque.

Toledo, Paraná, Brasil

Organizar documentos, efetuar cobranças, efetuar pagamentos em bancos, efetuar recebimentos de alugueis, auxiliar no rh e financeiro.

Postgraduate Stricto Sensu - Professional Master'S, Technologies In Biosciences

Master's in Biosciences: Milk Fraud Detection During my master's program, I focused on developing an innovative device to combat fraud.

Bachelor'S In Engineering, Electrical And Electronic Engineering

Course Completion Work: Development of a Microcontrolled System for Potentiostat-type Variable Potentials During my undergraduate studies.

Técnico, Técnico Em Eletromecânica

Premen, Ens. Medido

Auxiliar Administrativo Produção Industrial, Administrativo