Jonathan Besuchet

VP Autonomy at Flyability

Lausanne, Vaud, Switzerland
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Summary

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Senior
🎓
Top School
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.
code13 years of coding experience
job15 years of employment as a software developer
bookDeep Learning Specialization Deep Learning, Deep Learning Specialization Deep Learning at Coursera
bookEPSIC École professionelle de Lausanne
bookMaster ès Science robotic, Master ès Science robotic at EPFL
languagesFrench, English, German
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Github Skills (68)

minecraft10
slam-algorithms10
slam10
protocol-buffers9
imu9
protobuf9
feature-matching9
differentiable-programming9
gpu9
computer-graphics9
image-retrieval9
gpu-programming9
serialization9
sensor-fusion8
protoc8

Programming languages (4)

ShellC++CPython

Github contributions (5)

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jobesu14/unity-socket

Apr 2013 - Dec 2014

Contributions:11 commits in 1 year 8 months
jobesu14/ORB_SLAM3

Jul 2020 - Jul 2021

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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