Close

David Torres

Robotics perception engineer

Download Resume

About Me

Entrepreneur, achiever, ENTJ. Robotics + machine learning = autonomous drones and cars. Teaching robots how to understand our world

Experience

Toyota Motor Europe

Computer vision research engineer

Machine learning and Computer vision algorithms for Autonomous Driving:

  • Plane estimation, fisheye monocular depth prediction, SLAM
  • Cameras (mainly fisheye), LiDAR, Radar, GNSS, etc.
  • Software integration, driver development, prototyping and testing
  • RTMaps. Python and C++. Pytorch, Tensorflow, OpenCV, CUDA.
  • Embedded: R-Car V3H, DrivePX2

Jaguar Land Rover

Deep Learning Engineer

Deep learning algorithms development (Tensorflow, OpenCV, TensorRT) for Autonomous driving and cabin monitoring:

  • Plane estimation, fisheye monocular depth prediction, SLAM
  • Object detection/tracking, image segmentation, monocular depth
  • Sensors: Cameras (stereo and monocular) and LiDAR
  • Networks optimization and real time deployment
  • Driveworks, ROS. Nvidia Drive PX2 and Jetson TX2. Python/C++

DBX Drones

Founder and CEO

Mechanical design, software development (control/guidance) and testing. Matlab/Simulink, embedded C/C++

Education

Coursera | Deep Learning AI

2017 - 2018

Deep Learning specialization

Neural Networks and Deep Learning, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine. Learning Projects, Convolutional Neural Networks and Sequence Models.

Coursera | University of Pennsylvania

2018

Robotics specialisation

Dynamics and modelling, linear and non-linear control. Path planning. Image geometry, projective, pose estimation, multiview geometry. Gaussian learning, Bayesian estimation and filtering, Localization and mapping.

Cranfield University

2013-September 2014

MSc Autonomous vehicle dynamics and control

Course modules: Guidance and Navigation Systems, Modelling of Dynamic Systems, Sensor Fusion, Introduction to Aerodynamics, Autonomous Systems and Operations, Data and Information Fusion, Fault Diagnosis and Fault Tolerant Control, Autonomous Systems Control. ยท Thesis: Adaptive and Fault-Tolerant flight control systems with Adaptive Neural Networks

Polytechnic University of Madrid | ETSIA

2007 - 2014

Aeronautical Engineering

5 years degree equivalent to Bachelor + Master in Space vehicles

Projects

Unsupervised fisheye monocular depth estimation

CNN based depth estimation on fisheye cameras.

Drone navigation and collision avoidance

Monocular vSLAM (Jetson TX2) + IMU/GPS on EKF

Skills

Get in Touch