Victor Perez

I am a results-driven engineer specializing in system performance analysis, particularly with Nvidia's Orin platform. My expertise encompasses a wide array of technologies, including GNSS, stereo vision, and advanced camera systems, as well as kernel tuning and troubleshooting within Linux ARM environments.
 

With a strong background in ROS 2, Python, and C++, I have developed performance testing protocols and implemented algorithms such as Kalman filters, enhancing the efficiency of autonomous driving systems. My experience extends to CUDA programming and utilizing DriveWorks for advanced driver-assistance systems (ADAS).

In addition to my work in embedded systems, I have a solid foundation in software verification and structural coverage analysis, having contributed to the development of critical aerospace applications, including the GE9X aircraft engine.

I also possess a diverse skill set in renewable energy solutions, having designed and implemented fixed and solar tracking photovoltaic systems. My passion for automation and AI drives my exploration of innovative manufacturing techniques, leveraging camera systems for enhanced production efficiency.

Proficient in a variety of modeling and simulation software, I enjoy conceptualizing and designing mechanical systems, from turbojet engines to aerodynamic structures. I thrive on challenges that combine engineering principles with creative problem-solving.

Design and conceptual manufacture of aircraft, composite materials, automation and aerodynamics.

Mechanical models in MATLAB and data mining in Python, simulations of fluid dynamics and mechanics in SolidWorks, Siemens NX, Abaqus, XFLR5 and ANSYS, and creation of models in CATIA, AutoCAD, SolidWorks and ANSYS.

Conceptually designed a turbojet engine, a wind tunnel measuring chamber, wing profiles, a monoplane aircraft of 16 square meters of space.

Simulation and analysis of the aerodynamic behavior of several aircraft in software.

Master course with the following topics:

• Machine learning ( Neural networks in python)
• Non-linear control (State space)
• Sensors (optical encoders, hydraulic and electric actuators)
• Low-embedded programming (C language and Assembly, blimp control)
• Computer vision (ORB SALM of a submarine)