David Torres Ocaña
Computer Vision Machine Learning Research Engineer at Toyota Motor Europe
Zaventem, Flemish Brabant, Belgium
Summary
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Senior🎓
Top SchoolDavid Torres Ocaña is a Computer Vision and Machine Learning Research Engineer with 11 years' experience building perception and state-estimation systems for autonomous vehicles, aerial platforms, and defense applications. He specializes in camera-based perception, visual-inertial odometry, SLAM, multi-sensor calibration and monocular depth estimation, bringing a rigorous math-and-physics foundation to practical RT deployment using Python, C++, ROS and CUDA. At Toyota Motor Europe and previously Jaguar Land Rover he moved algorithms from research to real-time prototypes on automotive and embedded platforms, optimizing networks for Drive PX/Jetson-class hardware. He founded a drone delivery startup and has hands-on experience across GNC, sensor fusion and system-level engineering, giving him both entrepreneurial grit and systems ownership. Based in Belgium, he combines deep academic training in autonomous dynamics with a bias for shipping robust, production-ready perception stacks.
11 years of coding experience
3 years of employment as a software developer
Aeronautical Engineering (Bachelor + Master) Engineering, Aeronautical Engineering (Bachelor + Master) Engineering at Universidad Politécnica de MadridDeep Learning Specialization Artificial Intelligence, Deep Learning Specialization Artificial Intelligence at CourseraMaster's Degree MSc in Autonomous Vehicle Dynamics and Control, Master's Degree MSc in Autonomous Vehicle Dynamics and Control at Cranfield University
Spanish, English
Stackoverflow
1reputation
0reached
0answers
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Github Skills (77)
image-processing10
ros10
golang10
sensor10
docker10
ecosystem9
azure-kinect9
pipeline9
kinect9
nav9
python9
robot9
container9
go9
geometric9
Programming languages (6)
Github contributions (5)
DavidTorresOcana/Adaptive_and_Fault_Tolerant_Flight_Control_Systems
Aug 2017 - Jun 2021
Adaptive and fault tolerant flight control with Adaptive Neural Networks
Contributions:22 commits, 21 pushes, 1 branch in 3 years 10 months
fault-tolerantflightdeep-learningadaptivefault
DavidTorresOcana/ros_object_detector
May 2018 - Sep 2018
Contributions:13 commits, 8 pushes, 2 branches in 4 months
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