Software tools
- Visual Studio
- CMake
- Pycharm
- MATLAB
- Eclipse and Arduino IDE
- Rhapsody
- Tessy
- Astree
- Atmel Studio
Computer skills- Microsoft Office (Word, Excel, Power point)
- Linux
- Windows
Practical Experience
09/2017 - 06/2018Continental Automotive GmbH, Limbach-Oberfrohna, Germany
Tasks:Internship and Master Thesis (on Request)
- Research on automotive sensors, Calibration and implementation of Ultrasonic, Lidar and Radar modules using Arduino for obstacle detection
- Calibration , Implementation of Camera module with Raspberry Pi (ARM based) for Lane detection using image processing and computer vision techniques
- Implementation of CAN, I2C and SPI communication protocols
- Integration of all the modules to develop prototype and testing on work shop
- Tested semantic segmentation (deep learning) for free space object detection
Skills:Embedded C/C++, Matlab/Simulink , OpenCV
10/2017 ? 02/2018 Internship on developing Pedestrian Classifier, TU Chemnitz
Tasks:- Implemented Pedestrian classifier based on Bayes method using gray scale feature vector and HOG descriptor with the application of image processing and pattern recognition
- Used Weka tool for best feature vector
- Evaluated the performance characteristics based on confusion matrix on 2000 test images
Skills:C++, OpenCV