Nishika Agrawal

Conducting root cause analysis to diagnose issues in IC for automotive application. Utilizing advanced analytical techniques and tools, such as SEM, OBRICH, and FIB. Collaborating with cross-functional teams to improve product reliability and quality. Implementing corrective actions and preventive measures to mitigate future failures. Generating detailed 8D-FMEA report.

Transistor level design and simulation of analog, mixed-signal circuits for Flash, Sigma-Delta and Counter ADC. Designed circuit layout for lithography masks. Fabricated ADCs on glass substrate. Developed test setups and evaluated IC design in lab using oscilloscope and signal generator. Skills: SPICE, IC evaluation, Wafer Fab Process, Python, Documentation.

Developed a-Si photodiode and IGZO/a-Si TFT on the same glass substrate. Analyzed deposition, tempering, and etching conditions of the semiconductor materials and characterization of the fabricated devices. Skills: K-Layout, Semiconductor Process Technology, Clean Room experience, Device and Layer Characterization.

• Built test set up and characterization of energy meters, including current measurements of up to 1000A. Developed algorithm for automating energy meter measurement to extraction of real time data over Wi-Fi. • Skills: Python, Raspberry Pi.

Responsible for selection of the sensors and actuators needed, PCB designing, the microcontroller used to drive the system, power supply needed and automate the entire system. Ultrasound distance sensor, MPU-6050 Six-Axis (Gyro + Accelerometer), IR sensors were used for providing feedback to the system. Atmega 328p and Atmega 2560 were the two microcontrollers used for driving the system. The entire code was written in Embedded C language. Skills: Team Building · Robot Programming · Embedded C

responsible for selection of the sensors and actuators needed. The microcontroller used to drive the system and automate the entire system. Interfacing driver circuits for used DC motors, server motors and pistons. Ultrasound distance sensor, Hall magnetic sensor, IR sensors were used for providing feedback to the system. Atmega 328p and Atmega 2560 were the two microcontrollers used for driving the system. The entire code was written in Embedded C language. Skills: Robotics · Micro Soldering · Embedded C

Focus on Semiconductor device physics and device fabrication. Analog Circuit Design and IC Layout.

Grade: 9.19/10