Welcome to my Portfolio.

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a multi-threaded ticketing and notification system in NodeJS to alert internal AWS teams about their EC2 VMs with outdated software libraries which require patching.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.