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Embedded systems enthusiast | MSc in Electrical Engineering | LPWAN • RTOS • IoT • PCB design • C/C++ • Python | Always learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LightSense-Calib
February 16, 2025 – July 8, 2025
LightSense-Calib is an open-source project for spectral calibration of the OSRAM AS7341 sensor. It optimizes calibration coefficients to minimize errors between the sensor’s reconstructed spectrum and a high-precision reference from an integrating sphere.
View ProjectGrain_Price_Tracker
January 12, 2025 – May 25, 2025
A Python project that extracts and analyzes grain prices from Cotrisel (São Sepé, RS), providing visual insights into price trends.
View ProjectPhotonDesk-App
June 11, 2024 – May 26, 2025
Photon Desk is a light analysis and conversion tool based on spectral data. It allows users to import light spectra, visualize them, and compute key photometric, radiometric, and colorimetric metrics. Includes spectrum-based unit conversions, chromaticity coordinates, CCT estimation, and more.
View ProjectDMX_Master_STM32
June 14, 2023 – December 10, 2025
Firmware and hardware design for the DMX-Master-STM32, a standalone and PC-connected DMX/RDM controller. Supports USB-C communication, onboard OLED interface, and real-time DMX control.
View ProjectGUI_RDM_DMX_Master
April 12, 2023 – May 25, 2025
A graphical interface for DMX/RDM control, built with PyQt. Enables real-time monitoring, DMX command transmission, and RDM device management via USB-C using the DMX-Master-STM32 board.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal, open-source development, indicating self-motivation and a passion for technical challenges. However, the projects are heavily focused on embedded systems, hardware control, and specific scientific computing (optics/spectroscopy) rather than general data science methodologies, machine learning, or large-scale data processing, which might indicate a misalignment with a typical Data Scientist role requiring broader domain experience. The lack of team projects or professional experience makes it difficult to assess collaboration or adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.