Ing. Ansab Sheikh
Angestellt, Verification Engineer LiDAR, Magna International
Aschaffenburg, Deutschland
Werdegang
Berufserfahrung von Ansab Sheikh
Development / Fine-Tuning of Machine Learning algorithms such as SVM, Regression, Logistic Regression, clustering, and Deep Neural networks to perform computer vision-related 3D detection tasks in Camera and LiDAR. Designing the production flow and configuring the Active learning / Online learning paradigm. Dockerizing the developed algorithms for deployment in the production environment.
4 Monate, Juni 2017 - Sep. 2017
Studentische Hilfskraft
Fraunhofer-Institut für Materialfluss und Logistik IMLThe main task of this project was to mimic the decisions taken by a local path planner using Deep Neural Network. Data acquisition of laser scan and commanded velocities of local trajectory planners while running mobile robots in the simulation environment Gazebo. Implemented a deep neural network technique to model the relationship between input data (laser scan sensor readings and goal points) and output data (velocity commands) of the path planning algorithm.
3 Monate, Okt. 2013 - Dez. 2013
Design Engineer
Comcept (Pvt) Ltd
During my internship period I worked on ARM Cortex M4 microcontroller based projects.
Ausbildung von Ansab Sheikh
4 Jahre, Okt. 2014 - Sep. 2018
Robotics, Cognition, Intelligence
Technische Universität Dortmund
THESIS: Master thesis: Vehicle Detection and Pose Estimation Using Deep Neural Networks Learning In Robotics, Computational Intelligence, Mobile Robots, Modelling and Control Of Robotic Manipulators, Fundamentals of Robotics, Control Theory And Applications, Advanced Engineering Mathematics
4 Jahre und 1 Monat, Okt. 2009 - Okt. 2013
Robotics
Air University (AU)
THESIS: Lighter Than Air Autonomous Blimp AirShip
Sprachen
Deutsch
Gut
Englisch
Fließend