Akanksha Jhunjhunwala

Akanksha Jhunjhunwala has been working in the field of computer engineering since 2019. In 2019, they were a Research Intern at Indian Institute of Technology, Patna, where they conducted research on Natural Language Processing and developed neural network models to do sentiment prediction on multimodal data from Friends TV show. In 2020, they were a Teaching Assistant and an Undergraduate Research Assistant at Georgia Institute of Technology, where they designed multicharacter communication channel between the MCU and user interface over UART and Bluetooth, and conducted research on vision-based perception algorithms for agile grasping of irregular objects and cluttered scene identification using a KUKA robot arm. In 2020, they were also an R&D Intern at Cheers App, where they added face verification and auto-tagging of faces in images uploaded to the Cheers app, and developed a way to exchange data in the app by bumping two phones through Bluetooth Low Energy & through NFC. Currently, they are a Computer Engineer at Presso, where they are doing embedded software development using C, C++, and Linux including sensor integration, hardware & software timers, motor control, Android app development, and software reliability testing using unit testing and test-driven development for a 5-min apparel cleaning robot. Akanksha has also enhanced PCB capabilities by adding support for various sensors, resulting in 20% increase in sensor integration speed.

Akanksha Jhunjhunwala attended Notre Dame Academy, Patna, India from 2005 to 2017, where they earned their High School Diploma. Akanksha then attended the Georgia Institute of Technology from 2017 to 2021, where they earned their Bachelor's degree in Computer Engineering. In addition, they have obtained several certifications, such as the AT&T Summer Learning Academy Extern in 2020, Neural Networks and Deep Learning from Coursera in 2019, Chatbot Building Essentials from IBM Cognitive Class in 2018, How to Build a Chatbot Without Coding from Coursera in 2018, Modern Robotics, Course 1: Foundations of Robot Motion from Coursera in 2018, and Machine Learning from Coursera in 2018.