Uzma Wajeeh Shaikh
Low power design @ Qualcomm
About
Electrical engineer with interest in improving the performance of SoCs by optimizing power consumption and improving chip architecture. Help develop novel hardware and high-performance chip architecture for ML applications. Currently, as a Multimedia Power Engineer at Qualcomm, I am performing power analysis and optimization for Snapdragon SoC chipsets I love to paint and sketch in my free time.
United States
Stanford
Computer Hardware
Power Estimation, Low-power Design, Low power design analysis, GPU performance , Soc Analysis , Computer Architecture, Power Analysis, Sensors, Programmable Logic Controller (PLC), Distributed Control System (DCS), Computer Archietcure, Systems Design, C++, C, MATLAB, Microcontrollers, Algorithms, Field-Programmable Gate Arrays (FPGA), Application-Specific Integrated Circuits (ASIC), Research
Experience
Low power design
Qualcomm
United States
Multimedia power architect
Qualcomm
United States
Camera Power architect working to optimize power and improve performance with respect to area of SoC for multimedia technologies, performing rtl power analysis and optimization for Snapdragon SoC chipsets
Tegra System Architecture Intern
NVIDIA
United States
Performance (Power Analysis and modeling) for NVIDIA's Tegra family of System-on-Chip hardware. 1) Optimizing power and performance. 2) evaluate architectural tradeoffs in DL/ML (training/inference), CPU, GPU workloads.
Research Intern
Physical Research Laboratory
Ahmedabad, Gujarat, India
Mentor : Dr. Jayesh Pabari Collaborated to develop an algorithm for the Inter Planetary Dust Particle Detector with the aim of measuring maximum altitude that Dust Devil can achieve on different planets. Implemented the algorithm using verilog to design digital components on ProAsic 3E FPGA. Worked on the architecture of entire Dust detector module
Project Trainee
Siemens
Vadodara, Gujarat, India
Mentor: Anjali Dharampuria Contributed to develop low cost embedded solution to automate monitoring and operation of Steam Turbine system. Identified and deployed sensors, based on their cost, sensitivity and calibration. Programmed PLC’s for development of automatic Distributed Control System. Studied the overall architecture and circuits used to generate electricity from entire stream turbine system.
Education
Stanford University
Electrical Engineering
CHARUSAT
Electronics and Communication Engineering
Gold medalist Department Rank: 1 University Rank: 2
Uzma Wajeeh Shaikh's Contact Information
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