Degree: Bachelor of Science, Computer Science @ University of Maryland, College Park (May 2022)

Relevant Coursework: Natural Language Processing; Data Science; Software Engineering; Advanced Data Structures; Algorithms

Languages: Java, TypeScript, Python

Technologies: React Native, React, AWS, Git, Azure Services

Software Engineer @ Microsoft

Aug 2022 - Present

Software Engineering Intern @ Fraunhofer, USA (CMA-SE)

Jan 2022 - Jul 2022

Developed a React Native app allowing oyster farmers to record the geolocations and yields of their catches to aid in reporting totals to the local government. I led discussions regarding architecture, feature implementation, and UI. The app used AWS Cognito, Amplify, Gateway, and DynamoDB for storage and authentication.

Software Engineering Intern @ Microsoft

Team: C + AI

Jun 2021 - Aug 2021

Redesigned the user interface and experience of an internal recognition website built with React and C#. I was able to streamline the nomination process, increasing the amount of nominations submitted.

Word Sense Disambiguation with Logistic Regression: Python

Mar 2022

Developer - NLP course assignment

Created a logistic regression classifier model from scratch that is used to solve a supervised word sense disambiguation classification problem. The model is able to distinguish which word sense the word "line" is being used in given any input sentence and has a 75% success rate.

LiDAR Visualization Tool: Python, Open3D

Oct 2021 – Dec 2021

Developer

Developed a tool for autonomous vehicle researchers to visualize data from many different formats, including Waymo and nuScenes, by converting to a generic format. The tool displays RGB images, point clouds, and bounding boxes for all frames in the dataset.

Technica: React Native, TypeScript, AWS

May 2021 – Nov 2021

Mobile App Lead

Led the development of the Technica mobile app, which allows users to view and save events from the schedule, check in to venues, and connect with mentors for help. The frontend uses React Native and TypeScript, while the backend uses AWS DynamoDB, Lambda, and Gateway. As the lead, I provided feedback and guidance to other developers by conducting code reviews and delegating tickets. The app was released in both the App Store and Google Play Store and used by over 700 hackers.