Worked with Firmware team in profiling and building profiling tools for embedded Machine Learning accelerator to monitor and control power and performance of Qualcomm AI-100 inference SoC.

Contributed to the initial development of AI-100 Chip’s Visual Studio Code Extension which involved linking Low Level Debugger to an HTTP server for fast and efficient debugging. 

Developed embedded software based on respiration principles and measuring methodologies for an IoT based Mechanical Ventilator and interfaced medical sensors with STM32L4R9ZI MCU. 

Debugged and performed system tests and unit tests on individual sections based on medical functions while verifying the output data with respect to medical standards of electrical devices. 

Built GUI using python for visualizing and storing raw test data of medical parameters transmitted over UART channel which helped different teams in performing test data analysis and tuning of the ventilator system. 

Designed and maintained Insulation Diagrams for electrical sections of the Ventilator after each iteration of design change or addition of elements as a part of Risk Management Plan of the device. 

Researched about regulation requirements and revised the technical documentation in accordance with the IEC 60601-1 standard for medical certifications of the Ventilator. 

Ensured smooth handling of all types of events organized by the Electronics and Communication Engineering department and oversaw team selections which would represent the department in the yearly trophy events while directly reporting to the Head of the Department.

Experienced potential growth in teamwork and decision-making skills while assisting and working with the University Central Council Officials in handling and management of yearly Tech-Fest that hosts thousands of students from across the state and annual interdepartmental competitions in sporting and cultural areas organized by the university.