Abhishek Suman
About Abhishek Suman
1. 12 Years of experience into IT industry, in testing Automotive - IVI and Factory Automation domain. 2. 8 years of experience in Automotive - In-vehicle Infotainment System, Digital Cockpit, Instrument Cluster testing on platforms – Android and Linux (QNX, ELINA, Orinoco). 3. 4 years of experience in Industrial or Factory Automation domain. 4. Experience in testing In-Vehicle infotainment features like – Media, Telephony, Connectivity, Navigation, Park Assist & PDC, Tuner, Wi Fi, Telematics, Power Management, Voltage Monitoring, Cranking, Projection – Android Auto, Car Play, Baidu Car Life and Mirror Link, HMI, Animation & Video validation, SOC, IOC, Hypervisor, Emergency or – E Call, RESI, VIWI, Ethernet (ARXML), Ethernet Switch & ACL Rules, HVAC, CAN, LIN, UDS, Diagnostic, DTC, Voice Recognition. 5. Experience in verification CAN and Canoe Interface. 6. Experience with setup and handling of nodes in CICD through Jenkins. 7. Experience in setting up Automation Lab from scratch. 8. Experience in – SOC and IOC Flashing, Head Unit Recovery and Board Bring – up activities. 9. Used devices for testing ECU through Automation like - Programmable Power Supply – Gossen Mettrawart, Tektronix, Mansion etc., Audio analyzers – Octa capture, USB relays, PCAN, VECTOR VN5640 h/w, Firm Hub Emulators, Video Frame Grabber, USB, MTP, IPOD, Mobiles, SD Cards, Raspberry Pi, IZT Signal Generator etc. 10. Designed & Developed automation tools, Framework using C#, Dot Net, Python, RIDE technologies. 11. Developed Common Automation Framework, currently used by all automation projects. 12. Experience with HMI, Audio, Video and Image processing with the help of OCR and Image Comparison. 13. Experience with chimes / Audio and Sound verification using Audio Analyzer Tool. 14. Used Python packages for development ML & Deep Learning based solution and data exploration development like Numpy, Pandas, OpenCV, Scikit Learn, MatplotLib, Keras, TensorFlow, GraphX and Seaborn. 15. Recognized with “Spot awards and Bow awards” for significant contribution towards Re-Usability.