Yvan Loret
I am Yvan Loret, a dedicated and innovative Master's student specializing in Electrical Engineering and Information Technology at the Technical University of Munich.
About
I am Yvan Loret, a dedicated and innovative Master’s student specializing in Electrical Engineering and Information Technology at the Technical University of Munich. My academic focus areas include channel coding, machine learning, system-on-chip design, power transmission, electric drive, and digital signal processing. I have practical experience working with MATLAB and Simulink to optimize high voltage simulations, alongside Python for AI and machine learning projects. As a person passionate about technology and problem solving, I thrive in collaborative environments and enjoy leading projects from concept to implementation.
With prior experience as an intern at Porsche Engineering and a background in electronics engineering from ENSEA in France, I have developed a strong foundation in embedded systems, high-frequency technology, and DSP. Beyond technology, I take pride in leadership roles such as presiding over the ENSEA Sailing Club and enjoy hobbies like piano and basketball. I strive to blend technical expertise with creativity to build impactful, efficient solutions.
- 2 years' experience
- Joined August 2025
Languages
- FrenchFluent
- EnglishAdvanced
- GermanAdvanced
Industry experience
- Computers & Electronics
- Manufacturing
- Education
- Energy & Utilities
- Agriculture & Mining
Work experience
Updated and optimised the simulation model for the Taycan using MATLAB, improving the accuracy and reliability of the system. Improved simulation tools by redefining configuration parameters for high-voltage systems using Simulink and MATLAB. Contributed to increasing the efficiency of the simulation workflow by developing a more intuitive graphical user interface (GUI).
Directed a team to develop an AI-based fruit ripeness detection system on Raspberry Pi. Achieved 92% detection accuracy using machine learning models designed in Python.
Developed an IoT sensor (ESP32) for temperature and humidity monitoring with web UI, using JavaScript for dynamic data management and interactivity. Reduced data latency by 20% through firmware optimization in C++.
Education
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