I am a CS Major at Georgia Tech, interested in Deep Learning, Computer Vision, and Backend Development. Here, you can
find some of the projects that I've been working on. I love creating and building applications from start to finish.
Education: Junior CS Major @ Georgia Tech
Projects and Research
GTSFM - BorgLab
Working on an end-to-end Sfm (Structure from Motion) pipeline which creates 3D reconstructions of scenes
just from camera images taken from different viewpoints. Here, I research fields like Deep Learning, Multiview Geometry,
and Computer Vision.
NFL Game Winner Predictor
A Machine Learning project utilizing unsupervised and supervised learning algorithms to predict the winner
of an NFL game given aggregated offensive and defensive statistics for both teams heading into the game.
ViewMarks: Image Sharing Mobile Application
A mobile application (developed in React Native) that allows users
to share aesthetic views that they see out in the world. They can
also look at other people's favorite view captures and leave
ratings.For testing purposes, please download the Expo app off the App
Store. Also, please test using an IPhone, for it functions much
smoother on IPhone than on Android.
FoodFun: Recipe Web Application
A full-stack recipe reviewing application which allows users to
search through thousands of unique recipes, leave ratings and
comments for each recipe, and share with their friends. Leveraged
the Edamam Recipe API for Developers.
Work Experience
Software Development Engineer Intern
Summer 2021
Created a multi-threaded ticketing and notification system in NodeJS to alert internal AWS teams about
their EC2 VMs with outdated software libraries which require patching. Monitored over 20,000 EC2 machines
and issued production level tickets daily. Improved overall pipeline runtime by 30% by parallelizing
independent operations which processed EC2 host statuses belonging to different AWS organizations.
Backend Developer
August 2020 - April 2021
Built REST API in Flask to handle mass amounts of livestreamed computer vision based data. Stored over 200k data
points in InfluxDB to perform continuous analytical queries and updates. Implemented JSON tokenization to securely
store/authorize mobile and web users in MongoDB.
Software Engineer Intern
Summer 2020
Built a full-stack application to assist DevOps Engineers in monitoring/resolving big data job workflows.
Optimized the job failure resolution process for Senior Engineers by 50% by transferring their daily
logging responsibilities from an Excel Spreadsheet to an internally deployed web application. Performed live updates
by regularly scanning a REST API to provide insight on the status of over 1,000 job failures stored in a PostgreSQL Database.