Karol Majek

Self-Driving Car and Mobile Robotics Engineer

He finished MSc Eng at Warsaw University of Technology and Udacity's SDC Nanodegree. He was 3 months at Polytech Nantes working on Nvidia Jetson and 3 months at Fraunhofer Institute in Wachtberg working on 3D mapping. He successfully participated in several mobile robotics competitions including DARPA VRC, ELROB, Eurathlon, Udacity Challenge and Self-Racing Cars. His interests are deep learning (Keras, Tensorflow; mostly object detection), mobile robotics (ROS), distributed storage (MooseFS), cloud (mostly GCP). He is now working on deep learning solutions for autonomous cars, mobile robotics, petabyte storage, and as a mentor in Udacity's Self-Driving Car Nanodegree.

Presentations

Recognize drawings in the browser with Tensorflow.js

Sunday 12:45–14:45 in Track 1

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