Urvashi Agrawal

Staff Software Engineer @ Qualcomm

About

Graduate student at San Jose State University in Computer Engineering with Embedded Systems as major. KeyWords: SPI,I2C,CAN,UART,RTOS,Firmware,GPUs,Jetson TK1,TX1,OpenCV,Machine Learning,CUDA,C.C++ Worked as a graduate research assistant under Prof Hyrean Jeon in the field of GPU and researching on GPU accelerated autonomous self driving car. Intern at Samsung for the summer working on the GPU development and architecture A confident person and like taking initiatives,can work well with teams and possess good communication skills. I am a fast learner and am eager to learn new things,always look for learning opportunities. Actively seeking fulltime opportunities as an embedded firmware/software engineer.

Country

United States

City

San Jose

Industry

Computer Software

Skill

C++, C, Python, Eclipse, SQL, PL/SQL, Linux, Unix, Informatica, Business Objects, Git, Microcontrollers, MIPS Assembly, Microprocessors, ETL Tools, Verilog, Data Structures, Agile Methodologies, Kanban, Embedded Systems

Experience

Staff Software Engineer

Qualcomm

2022-11 - Present · 3 yrs 10 mos

United States

Senior GPU driver software engineer

Qualcomm

2017-7 - Present · 9 yrs 2 mos

Greater San Diego Area

Software Developer for linux device drivers for the adreno GPU in Snapdragon SoC. Experience with bringups, android linux kernel, software development of device drivers for GPU, multithreading, working on emulation platforms, understanding and implementing software for features and customer requests.

GPU Intern

Samsung Electronics America

2016-12 - 2017-5 · 6 mos

San Jose

GPU Intern

Samsung Electronics

2016-6 - 2016-12 · 7 mos

San Jose,California

Working in the Advanced Processor Labs towards the processor design and emulation. Designing and developing the event counter flow architecture in the processor for testing the power and performance.Testing the design on emulation and simulation

Graduate Research Assistant( New Generation GPU design for deep learning algorithms)

San José State University

2016-1 - 2016-12 · 1 yr

San Jose

Carrying out research on GPU based applications used in a self driving car and developing benchmark suites for it. The applications used for benchmarking will be deep learming applications for image recognition and classification like Cifar-10 and ImageNet.TensorFlow, Caffe,and Torch are the frameworks being used for running deep learning algorithms which can train the car to function autonomously.Running the deep learning algorithms on Jetson TX1 and K80 server. Measuring the GPU performance for these applications using the Nvidia nvpof profiling tool

System Engineer

Tata Consultancy Services

2013-8 - 2015-8 · 2 yrs 1 mo

Mumbai Area, India

•Carrying out operation analysis. •Developed and presented reports to the clients. •Brainstormed and provided solutions to client on issues related to datastage, SQL and UNIX.