SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Official Implementation for the Paper [AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent](https://arxiv.org/abs/2602.03955)

This repo includes solutions to all the 'in the class quizzes' and 7 problem sets of the Introduction to Computer Vision course (G Tech CS6476 - on Udacity)

My NMPC controller package for PX4-based Quadrotor deployment. To be used with other PX4 Quadrotor packages I've developed (see Readme file).

Ask Me: Question Generating Agent

A scheduling app for Georgia Tech with some advanced tools

With this project we researched, implemented and analyzed different algorithms to effectively and efficiently solve an NP-Complete problem such as the Minimum Vertex Cover (MVC).

Official Code for ICLR'26 Work LapFlow

A Travelling Salesman Problem (TSP) solver using a hybrid of strategies

My Newton-Raphson Flow controller package for PX4-based quadrotor deployment. To be used with other PX4 Quadrotor packages I've developed (see Readme file).

Downloads music from WREK Atlanta, the campus radio from Georgia Tech.

Get an Update of your College Admission Application Status to your e-mail automatically.

This repository contains code written during Universidad Mayor's Vertically Integrated Project 'Python animations for applications in nanomagnetism', meant to help physics researchers create spins animations in Blender.

With this project we research and test out whether data generated by generative Deep Learning Models can be effectively utilized to train secondary models. Specifically, if images generated by DALL-E mini are suitable to train a classification model with a performance comparable to models trained on CIFAR-10.

This is a WebAPP that simulates an LLM. It will be used in Georgia Tech's HumansLab Research lab

Resources and demos for the Fetch platform including map building, navigation, and following

Paravastu Lab NMR Chemical Shift Prediction

A search engine for courses at Georgia Tech, powered by text embeddings via OpenAI.

RTD-RAX: fast, safe trajectory planning for systems under unknown disturbances. Uses mixed-monotone reachability to certify and repair planned trajectories online, extending Reachability-based Trajectory Design with runtime safety assurance that handles real-world uncertainty.

An Alexa skill for Tech Students, by Tech Students.