Lucent (2020) Developed a web application that allows users to create automatable workflows for data exploration/processing ​Underwent rapid product iteration by reaching out and pitching to employees from CROs, Gilead, and Oracle Tech Stack: MERN Stack, Dagster, Flask, Pandas, Plotly, TypeScript, HTML/CSS, Redux, Python

Phyzmo (2019) ​ Available on App Store! ​ Reduced university course cost by over $100 per student by constructing cross-platform application leveraging computer vision to help students visualize kinematic data for physics labs Designed application to track moving objects and create visuals based on recorded data using Cloud AutoML Tech Stack: GCP Vision API, GCP Cloud Functions, GCP Storage, OpenCV, Firebase, Python, Java, Swift

Absent (2019) Launched iOS app coaching non-native speakers to improve their accent by analyzing their voice recordings Utilized cosine similarity algorithm and word-level confidence analysis to dissect accent and provide feedback Tech Stack: GCP Speech-to-Text API, GCP Cloud Functions, GCP Storage, Firebase, Python, Swift

MLTube (2020) Produced a web application which predicts the virality of YouTube videos by creating a CNN for NSFW classification of the thumbnail, a CNN for clickbait regression of the title, and a live web scraper for trendy tags Tech Stack: Tensorflow/Keras, Flask, Selenium, HTML/CSS, Javascript, Python, Heroku App Deployment

FeeSplitter (2019) Invented a web application tracking shared expenses and balances between roommates, friends, and family Tech Stack: Javascript (Node.JS, Express.JS, React.JS), HerokuApp Deployment, HTML, CSS, SQL