
Marcelo Elias Simon
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Marcelo Elias Simon
- Bis heute 3 Jahre und 1 Monat, seit Aug. 2022
Software Developer | Python & C Specialist
Hypros GmbH
• Designed and developed embedded software in C and Python for smart healthcare devices, reducing memory usage by 20% and increasing IoT device battery life by over 10% through optimized low-level drivers. • Built real-time data processing applications and REST APIs in Python to validate new features and improve feasibility studies. • Automated integration of documentation across modules, reducing cycle time by 5% and improving consistency.
- 7 Monate, Aug. 2021 - Feb. 2022
Research And Development Engineer
Longhi Enginnering and Automation Ltda
• Developed embedded software in C, including low-level drivers, data processing routines, and optimized power management for IoT devices. • Designed electronic circuits and analyzed requirements to evaluate project feasibility and technical constraints. • Built a cloud-connected telemetry system using MQTT and cellular networks to enable real-time monitoring of field devices.
- 11 Monate, Sep. 2020 - Juli 2021
Engineering Analyst
Barrfab
• Analyzed opportunities for product upgrades and planned microcontroller updates to enhance functionality and performance. • Developed and maintained embedded firmware for medical devices, including implementing Bluetooth remote control features. • Refactored and optimized legacy code to improve software maintainability and reliability. • Maintained detailed, up-to-date technical documentation supporting development and regulatory compliance.
Ausbildung von Marcelo Elias Simon
- 3 Jahre und 1 Monat, Feb. 2019 - Feb. 2022
Systems and Automation Engineering
UFSC / Florianópolis, Brazil
Thesis: Multi-robots Coordination System for Urban Search and Rescue Post-disaster Assistance Based on Supervisory Control Theory.
- 5 Jahre und 2 Monate, Feb. 2013 - März 2018
Control and Automation Engineering
IFRS / Farroupilha, Brazil
Project: Fingers Motion Recognition Using Surface Electromyography and Machine Learning Algorithms.
Sprachen
Portugiesisch
Muttersprache
Englisch
Fließend
Deutsch
Gut
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