TUV SUD Certified ISO26262 Level 1 Functional Safety Engineer.

Bringing up cutting edge automotive grade CPU, GPU, NPU, and memory technologies (on platforms such as Qualcomm, Nvidia, SiMa.AI, AMD, Samsung, etc.) and conducting analysis using industry standard benchmarking tools such as Spec CPU 2017, Geekbench, GFX Bench etc. Benchmarking popular image recognition and ASR Inference Models on edge and cloud AI hardware, and memory technologies using FIO tool.

Gaining expertise in hypervisors, PCIe standards, tools used for managing NVMe storage. Established SoC to SoC communication using PCIe. Worked on bringing up and integrating GMSL cameras using OpenCV, V4L2 and Gstreamer libraries. Expert on low power mode compute for surveillance mode applications.

Safety critical software development on RTOS and Baremetal in C, integrating and testing controls algorithms developed on Matlab, sensor recalibration, bringing up Xilinx Zynq platforms (ARM architecture), developing drivers and testing LIN, CAN, UART, GPIO. Benchmarked and evaluated various static analysis and automated unit testing tools for EN50128 standards.

Served as the grading assistant for Data Structures and Algorithms in Dept of Electrical Engineering and Computer Science, UCI; Introduction to Graphical Models in Dept of Computer Science, UCI; Software Design in Dept of Informatics, UCI.

Surveying for SoC/ SoM selection, FPGA bring up, board bring up, integrating controls algorithms generated by QGen, writing device drivers.

Developed a device that automated a temperature rise test of contactors (as per IEC Standards) and stored data in an SD card, using Arduino Uno. This increased the company's efficiency, as the researchers were alleviated from their major work of monitoring the test and logging data for 8 hours. .