r/lyftdrivers is a popular community of Lyft drivers composed of over twenty thousand members that serves as a platform for Lyft drivers to share their experiences driving for Lyft. Monitoring this forum can be used to identify merits and issues drivers are experiencing with new updates or the app in general. My project is to periodically scrape the subreddit and extract keywords from the posts using Natural Language Processing (NLP), so we can quickly identify areas of improvement for Lyft drivers.

I will be working on the RP Co-Experiences Team.

This summer, I interned at CoinFLEX, crypto-exchange startup based in Hong Kong. My first project was to develop an online gambling site for their crypto token by refactoring an open-sourced legacy version of the game on Github. I not only redeveloped the provably fair algorithms and securely hashed the game’s outcome using SHA-256 and other cryptographic libraries in a PostgresQL database, but also learned and fixed the chat system using Socket.io.

After completing the project, I studied the intricacies of all the major crypto exchanges in order to effectively maintain the major components on CoinFLEX’s main trading platform. I added new features to improve the user experience and developed unit tests to ensure the correct methodology and usage.

Finally, I project managed (and developed the complete front-end) a team of six engineers to design, build, and deliver a complex crypto trading competitions project to increase user participation through monetary rewards based on contestants’ trading performances.

Nooks is a social media platform founded by Northwestern students where users can share unique places they've discovered. It is currently in a startup accelerator and has active users from over 100 countries.

I am helping with the development of the mobile app (React Native).

I helped teach students with no prior experience in CS how to build their own websites using HTML, CSS, and JavaScript. I graded assignments and hosted weekly office hours for over 40 students.

I used tools such as QRadar, CrowdStrike, and Splunk to analyse site vulnerabilities, investigate causes of network traffic influx, and oversee the parameters used in reporting potential site threats.

Lofi Labs is a machine learning web application that uses neural nets to generate tailored lo-fi beats to each of its users' tastes. I helped develop the UI and algorithm for the application.
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The feedback application is a CMS platform for people to send mass surveys to a collection of users and generate feedback reports.

At this blockchain-themed hackathon, my team and I won the UX Design Award (USD $3000 cash prize) for building Warrantease, an app that delivers easy, secure product warranty registration and claims. Check out the app here.

I play on Northwestern's Club Tennis team and religiously watch the sport. You can often find me watching Nadal (and Federer, of course) highlights on Youtube.