Bites is an iPhone and Android app that allows college students to sell affordable, home-cooked food to other students on campus. I developed the app in my freshman year at Columbia with two friends. After working really hard throughout the fall and winter, we launched the app in March of 2016 and have been working on marketing the app on campus since. Bites won 2nd place at Columbia’s Undergrad Fast Pitch Competition, and was selected as a finalist at the Columbia Venture Competition. Visit Page
Studying needs to be more engaging for students. This is why I created Flip for a high school research project in 10th grade. Flip uses speech recognition and synthesis APIs to create verbal back-and-forth quizzing sessions for students to provide an engaging and productive studying experience. In addition, Flip uses adaptive algorithms to learn what content student’s are strong with, and which content they are weak in. I researched Flip’s effectiveness in a classroom setting and published my results at the 2014 World Conference on E-Learning. Visit Page
Social media was created for showing off to our friends and family. PopFactor provides analytics for Instagram users to understand which colors in their pictures are most responsible for generating the most likes. The web app makes use of APIs from Instagram and Cloudinary, and uses technologies like Angular, Node, and MongoDB. In the future, I would like to expand the platform to provide analytics for friend's tagged in user's posts.
Smartasset is a fintech startup located in New York City. As an intern this past summer I worked on migrating backend architecture to microservices using Netflix Eureka for service discovery, fault tolerance, and middle-tier load balancing. I also worked on tools for updating ip address location data, SEO optimization, and load performance testing.
At Columbia’s LIINC lab I work on building real-time, virtual reality - brain computer interface technology. I’ve worked on integrating software solutions from open source code for streaming synchronized data from multiple data streams including EEG, Oculus, and Eye Tracking data sources.
In high school, I studied Human Computer Interaction with Dr. David Brown. I coauthored three papers, studying the effects of computer science on a large society, focusing on issues of gender imbalance in the tech community and how mobile apps can effect learning and retention in the classroom. Abstracts to these papers can be found .
Egleston Scholar (Top 1% of Columbia Engineering Class of 2019) • Finalist at Columbia Venture Competition • Rochester University Award for Technology and Innovation
Data Structures in Java • Advanced Programming in C/C++ • Fundamentals of Computer Systems (FSMs, MIPS, Caching) • Calculus III
Built functioning HTTP web server from ground up in C • Wrote a sorting program in MIPS assembly code • Spent several years as a math and science public/private tutor • Fan of Philadelphia sports