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For the past ten years, Priyanka has been dedicated to learning about Computer Science, specifically machine learning and artificial intelligence. Her first introduction to computer science was her first grade science project on binary numbers and soon afterwards, started to play around with LEGO Mindstorms robots in third grade and programming them in Java by fifth. The ability to create through computer science was her drive and thus, she became interested in Android app development in sixth grade. When she heard about the fatal sexual assault cases and discrimination against women in New Delhi, India, she developed an app called LODA in an effort to prevent future incidents. LODA automatically sends the user's GPS location and an alert message to the user's emergency contacts. After working at Agnik, a connected car and IoT software company, for four years, she was able to build her programming and graphic design skills by developing several web and mobile applications. She also has won several hackathons and competitions such as the Congressional App Challenge and QuHacks, a hackathon sponsored by the John Hopkins Applied Physics Laboratory. By avidly pursuing her passion for computer science, she finally began her research at the Ames Research Center of the National Aeronautics and Space Administration (NASA) for designing and implementing machine learning algorithms for deep image classification for swarms of drones in loosely coupled environments. Based on her research, she also submitted a paper, "Self Similarity, Contraction Mappings, and Distributed Deep Learning of Neural Networks", to the 2018 SIAM International Conference on Data Mining. She especially enjoys teaching others about the coding and the vast number of opportunities computing provides as the President of her school's computer science club and the CTO of her business, Medley, which received the Junior Achievement Central MD Company of the Year and National Top 15 Company awards. As she moves forward, she would love to continue to learning more about machine learning and artificial intelligence through undergraduate and graduate degrees in college, applying her knowledge to creating advanced solutions for IoT-- specifically connected cars, and spreading her love of computer science and business to others.