Aarav Sharma

Intro

I am a Computer Science student attending Georgia Tech who loves tinkering with code and coding new projects. I am extremely interested in product development and the applications of machine learning to solve real-world issues. Here at Georgia Tech, I am part of the competitive Bhangra team, supercomputing club, iOS club, and big data big impact club. When I'm not at my computer, you can catch me reading, watching my favorite tv shows, playing tennis, or engaging in my favorite hobby: photography! Feel free to explore my website (espcially the photography tab!) and follow me on social media!

• LinkedIn
• Instagram

Projects

Spotify Wrapped App With Personalized LLM Analysis

• Built a Spotify Wrapped mobile app using Android Studio, integrating dynamic music visualizations and serving 150+ active users

Full-Stack College Scheduler App

• Developed a college scheduler app with Android Studio, Java, and Firebase to help 500+ students manage their academic schedules

Statistical Analysis and Evaluation of Tennis Games Using Computer Vision

• Engineered a neutral network with over 95% accuracy using TrackNet and OpenCV to detect precise tennis ball bounce locations

• Constructed a dynamic HTML webpage to graphically visualize ball bounces and statistical data for over 100 unique rallies

• Authored and presented a 15-page scientific research paper to showcase findings to 300+ students at a local research symposium

Machine Learning and Image Captioning: The Flickr8k Dataset

• Developed and trained a supervised neural network using Python, TensorFlow, and Keras to automatically generate descriptive captions for a diverse set of images from the Flickr8k dataset.

• Successfully processed and analyzed a dataset compromising of more than 8,000 images

• Communicated project findings effectively by creating a comprehensive presentation and presenting results to both peers and industry professionals

Cryptocurrency IOS App with React Native

• Leveraged React Native to develop an app on Apple and Android devices that provided comprehensive real-time information and insightful analysis for over 20 cryptocurrencies

Experience

ManTech International Corporation: Cognitive Cyber Technical Intern

• Trained Graph Neural Networks to identify software vulnerabilities in binary files, achieving over 90% classification accuracy

• Applied the Common Weakness Enumeration system to classify 60+ types of software vulnerabilities and reduce threats by 30%

• Wrote Python scripts to automate commit history analysis in FFmpeg and QEMU repositories, improving version control by 20%

Georgia Insitute of Technology, Design Innovation & Computation Engineering Lab: Undergraduate Research Assistant

• Engaging in a research project focused on the computational analysis of a cross-flow heat exchanger using topology optimization

• Enhancing performance of location detection by utilizing PyTorch to model data and design convolutional neural networks

• Processing 15+ CFD features to produce accurate quantitative predictions of fluid-flow phenomena in OpenFOAM simulations

iQuasar LLC: Cybersecurity Intern

• Conducted CMMC 2.0 cybersecurity compliance audits by developing a Django-based audit tracker for over 10 businesses

• Implemented supervised machine learning algorithms to analyze network traffic anomalies and improve threat detection by 30%

• Devised an interactive user-friendly dashboard displaying 50+ real-time threat analytics using HTML, CSS, and JavaScript

ConnectAI: Machine Learning Intern

• Designed an AI bot with ChatterBot for a global senior living provider (GoldenSHERPA) that provided assistance to elderly patients through medication reminder, daily task, social event scheduling, and transportation arrangement services

• Utilized Keras and TensorFlow to create a logistic regression matching algorithm that used user-provided information such as financial situation, medical conditions, desired amenities, and location to pair patients with the optimal living accommodations

Qubit by Qubit: Quantum Computing Trainee

• Participated in a seven month-long program with bi-weekly classes and lab sections to develop a foundational understanding of quantum computing, mechanics, and algorithms

Photography

Contact

• LinkedIn
• Instagram

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';