Jonathan Besuchet is a Senior Software Engineer specializing in robotics with 13 years of experience building real-time perception and autonomy stacks for drones and interactive systems. At Flyability he designs and implements vision and LiDAR SLAM solutions and prototypes deep learning approaches to enhance localization and mapping for confined-space inspection. He combines a strong robotics and micro-engineering foundation from EPFL with hands-on game- and mobile-development experience, which gives him a pragmatic edge in optimizing real-time systems for constrained hardware. An avid machine learning enthusiast, he actively explores deep reinforcement learning and translates cutting-edge research into proofs of concept that inform product strategy. Based in Lausanne, he brings a rare mix of low-level systems engineering, sensor fusion expertise, and product-minded experimentation.
13 years of coding experience
10 years of employment as a software developer
Deep Learning Specialization, Deep Learning, Deep Learning Specialization, Deep Learning at Coursera
EPSIC École professionelle de Lausanne
Master, Micro engineering, Master, Micro engineering at Ecole polytechnique fédérale de Lausanne
Master ès Science, robotic, Master ès Science, robotic at EPFL (École polytechnique fédérale de Lausanne)
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Contributions:5 pushes, 4 branches in 1 year
visual-inertialinertialmapaccurateorb
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Jonathan Besuchet - Senior Software Engineer - Robotics at Flyability