Dinesh Atchuthan

R&D Perception Engineer at EasyMile

Toulouse, Occitania, France
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Summary

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Senior
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Top School
Dinesh Atchuthan is an R&D Perception Engineer with 11 years of experience specializing in lidar-based perception, terrain estimation, and robustness to harsh weather for autonomous vehicles. He holds a PhD in inertial estimation and has translated academic factor-graph and Lie-theory methods into real-time C++ libraries and production features on vehicles. At EasyMile he delivered pointcloud filtering, novel free-region validation algorithms, and led harsh-weather data campaigns to quantify platform limits and guide solutions. His background includes visual-inertial SLAM and synchronization work from a postdoc, plus hands-on tracking and machine-learning experiments dating back to academic internships. Colleagues value him for bridging prototype research to production deployment and for supervising thesis work and publications on lidar-weather interactions. He brings a curious systems view—questioning single-IMU designs and focusing on estimators that detect both long-term state and short-term phenomena.
code11 years of coding experience
job1 year of employment as a software developer
bookClasse préparatoire, Physique-Chimie, Classe préparatoire, Physique-Chimie at Lycée Lavoisier
bookHigh School, Scientific Baccalaureat, High School, Scientific Baccalaureat at Lycée Louis Le Grand
bookMaster's Degree, Ingénierie et Science physique du Vivant, Master's Degree, Ingénierie et Science physique du Vivant at Télécom Physique Strasbourg
languagesFrench, English, German, tamoul, Japanese
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Github Skills (15)

keyframe8
localization6
crypto5
cryptocurrency5
cryptography4
amd4
ros-driver3
ros3
driver3
imu2
csharp2
uwp1
windows1
xaml1
uwp-apps1

Programming languages (3)

C#TypeScriptC++

Github contributions (5)

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Contributions:93 commits, 20 pushes, 3 branches in 2 years 6 months
nmansard/humanoid-odomimu

Jul 2017 - Mar 2019

Contributions:100 commits, 45 pushes, 4 branches in 1 year 8 months
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