I am a robotics engineer specialized in autonomous systems, computer vision, and sensor fusion, with a strong focus on deploying robust solutions in the real world.
My work spans the full autonomy stack: from synthetic data generation and machine learning pipelines to pose estimation, state estimation (EKF-based fusion of LiDAR, GPS, IMU, and wheel odometry), control systems, and embedded deployment. I design systems that move from simulation to physical validation and I care deeply about closing the sim-to-real gap.
Currently, I am developing an autonomous robotic charging system for heavy electric vehicles as part of my Master’s thesis. The project integrates computer vision (YOLO-based keypoint detection and EPnP pose estimation), visual servoing on UR robots, calibration pipelines, and real-world plug-in validation. Alongside this, I design custom hardware systems including battery management architectures and embedded control boards, combining mechanical, electrical, and software engineering into one coherent system.
As Project Manager and Vice President of EPFL Xplore, I lead more than 60 engineers building a Martian rover and drone for the European Rover Challenge. Beyond technical contribution (navigation, sensor fusion, control), I coordinate cross-disciplinary teams, manage sponsors, and drive execution under competition constraints.
What differentiates me is my ability to take ownership of complex systems end-to-end: architecture design, algorithm development, embedded implementation, validation, and iteration. I am comfortable moving between high-level system design and low-level debugging whether it’s tuning a Kalman filter, calibrating a camera-robot transform, designing a PCB, or analyzing field data.
I am looking for roles in robotics, autonomous systems, perception, sensor fusion, or intelligent embedded systems where I can contribute to building high-impact, real-world technology.