Autonomous Driving Data Forensics Technical Lead

5/2018 – 10/2018

Software engineer on the Drive4U Urban Automated Driving project.
- Designed and developed a motion planner module using RTMaps and C++, encompassing the integration of a road lane graph and advanced sampling methodologies.
- Conceptualised and implemented a low-level acceleration longitudinal controller within the test car.

C++, Git

4/2016 – 10/2018

System engineer on the Drive4U Urban Automated Driving project.
- Orchestrated the integration of all software and hardware modules, containing 30 Hardware units ranging from sensors to actuators, within the test car.
- Conducted gathering, testing, and validation of 20 Software modules.
- Planned and executed comprehensive validation and test drives to ensure optimum performance.
- Proactively managed relationships with over 10 suppliers of sensors and actuators for the test car, ensuring timely delivery and optimal functionality.
- Prepared and delivered 20+ live impactful demos for clients, journalists, and at the CES event, boosting the brand's reputation.

Systems Engineering

4/2014 – 4/2016

Developed algorithms and software following Bosch requirements for a highly automated driving car (ROS, Linux) :
- Created a C++ software module for perception and environment modeling, with the ability to compute and visualize the free space around the car through point cloud processing and Kalman Filter techniques.
- Implemented a C++ sensor data fusion system to effectively fuse and track objects around the car.
- Developed visualization tools using Python and Qt to optimize the algorithms' performance.

Developed algorithms to determine the current situation of the autopilot and compute key performance indicators (KPIs).

Created an HD maps converter in C++ for the autopilot's planner, utilizing open-source formats such as OSM and ODR.

Managed a team of three individuals, including task estimation and follow-up for project management.

C++, Python

9/2010 – 10/2013

In charge of multiple engineering lessons modules for 10-20 students:
- Oversaw all aspects of University lessons, ensuring the effective learning and comprehension of students.
- Prepared and managed engaging lectures, group discussions, and practical sessions.
- Developed comprehensive solutions to problems to anticipate and address student questions.
- Provided guidance and advice to students to enhance their understanding of lessons.
- Prepared, administered, and graded examinations to assess student progress.
- Selected and delegated tasks to teaching assistants to facilitate efficient lesson delivery.

Lessons given :
- Object-oriented programming (C++ and UML on Windows and Linux)
- Analogue and numeric control laws (applied to aerospace)
- Real-time embedded system (ARM3 processor with uC/OS-III)

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