
Aayush Singla
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Aayush Singla
• Master thesis on “2D / 3D stitching of Ultra High Resolution images using deep learning and pattern recognition” • Tool development using MATLAB, Delphi and Python (Tensorflow) • Working with computer vision on Reverse Engineering of Integrated chips designs • Setting up test automation of Delphi with Jenkins
• Developed GDSII file reader, parser and writer using Delphi • Polygon comparison algorithm for reverse engineering to track Hardware Trojans published in IEEEXPLORE
- 6 Monate, März 2018 - Aug. 2018
Research Assistant
Technical University of Munich
• Worked on Vision Based SLAM (ORB) Rover in collaboration with German Aerospace Center (DLR) • Hardware development and software integration with C++ and python in ROS environment • Worked with variety of sensors (Camera, Ranging, IMU, GPS, RTK)
• Worked on web crawling and machine learning techniques for building libraries and data analytics • Worked with python and JavaScript in Docker
- 2 Jahre und 2 Monate, Juli 2015 - Aug. 2017
Full stack developer
SAP Labs India
• Worked on the enablement of S/4 HANA in Oil and Gas downstream Industry • Development of web/mobile cloud applications using HTML5, Javascript, Fiori and OData • Offline enabled mobile application development for iOS and Android • Business role and catalog management with SSO authorization
- 6 Monate, Jan. 2015 - Juni 2015
ANALOG DESIGN INTERN
Texas Instruments
Characterization of Optical Time Domain Reflectometer chip to calculate the optical fiber loss locations in an optical fiber using Perl and hardware testing
Ausbildung von Aayush Singla
- 2 Jahre und 6 Monate, Okt. 2017 - März 2020
Electrical and Computer Engineering
Technical University of Munich
Signal Processing, Image Processing, Machine Learning, Robotics, Communication Electronics
- 4 Jahre, Aug. 2011 - Juli 2015
Electrical and Computer Engineering
Birla Institute of Technology and Science, Pilani
Electronics Engineering Computer Science
Sprachen
Englisch
Fließend
Deutsch
Gut
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