Saad Riaz Qazi

I research and develop concepts for fault tolerant E/E architectures for automotive systems, in context of level-4/5 autonomous driving. I also filed a patent for a fault tolerant scheme that targets data flow in processor cores. I am currently working on Many-Core architectures for automotive ECUs. For developing proof of concept, I typically use C , Python, Verilog, VHDL, Xilinx VCU108, SystemVerilog and TCL.

I developed a framework for implementing convolutional neural networks on the Virtex-7 FPGA. The hardware accelerator developed by me was able to outperform embedded GPUs from Nvidia by being 2x faster and 7x less power hungry.

Managing L2, L3 circuits of SLA customers. Job tasks included troubleshooting, dealing with customers, monitoring network and reporting.

Researching fault tolerant methods in the Automotive domain. Proposing future architectures for automated driving vehicles.

Hardware Design, Software for Embedded Systems

Telecommunication