I'm currently a 3rd year Computer Science and Mathematics major at Northeastern University. When I'm not coding, you can probably find me scrolling through Twitter, reading books about math / machine learning, or trying to find the best mozzarella sticks in Boston.
Here are a couple of some really cool projects I've gotten to work on throughout the years!
My friend and I created this website in order to create a platform for pet owners to find sitters that accommodate needs for more unconventional pets. This project was really useful for learning full-stack website development, by allowing me to understand how data flows from the front end all the way to the database.
Technologies Used: React.js, Express, Node.js, MySQL, WebStorm
I created a neural network that was designed to reconstruct original images from their corrupted inputs. This project really taught me a lot about how neural networks actually work, how to build them, and how they internally represent the data they process.
Technologies Used: Python, TensorFlow, Jupyter, PyCharm
This is a cross-platform mobile app that my friends and I wrote in order to allow students to view what items are on sale at Trash2Treasure, a garage-sale type event held at Northeastern every year. This project was really interesting in that I learned a lot about the the design lifecycle, repeatedly iterating on the design of the app based on heuristic and user evaluations.
Technologies Used: React Native, WebStorm
I created a recommendation system for movies using the OMDB API, as well as the Wikipedia plot summary dataset, using the k-means clustering algorithm and a k-nearest neighbors lookup. This project was really useful in helping me understand how to write ETL pipelines, and understand the nuances of working with high-dimensional data.
Technologies Used: Python, TensorFlow, Jupyter, PyCharm
This January, I'll be starting a new position as a software engineering co-op at Wayfair. I'll be working on the Strategic Finance Engineering team, building full-stack applications to create, maintain and provide accurate financial information for Wayfair's monthly, quarterly, and yearly reports to the U.S Securities and Exchange Commission.
In my opinion, technological curiosity is one of the most important traits a CS student can have. That's why I've been working to bring engineers from top companies like Google and Spotify to Northeastern to talk about the unique large-scale problems that they face, and the creative solutions they employ to tackle them.
Last summer, I had the privilege of going to London to work for FX Digital, a small startup that creates interactive experiences for their clientele. I worked on creating Alexa skills for clients, building audio visualization software and integrating a web application into an Android TV app for the Discovery Channel. Going abroad and being exposed to a different kind of work environment was a really life-changing experience, and it opened my eyes to the possibilities of working abroad in the future.
Teaching is a huge passion of mine. Nothing beats the sense of happiness I feel when a student is struggling with a concept, and I'm able to explain it in terms they're able to understand. I've TA'd for Programming with Data, a course designed to introduce data science to non-majors, as well as Object-Oriented Design, an upper level CS elective aimed at teaching students design patterns, scalability, and best design practices of software development.
Last January, I co-oped at Whoop, where I performed preliminary research on potential changes to their calorie calculation algorithm. I also developed a notification system for users who were wearing their Whoop straps incorrectly, based on time-series accelerometer and heart rate data. I learned a surprising amount about the intersection of data analytics and human physiology after working at Whoop, and it was a very formative experience in my journey as a student.
Project Programming was a project some friends and I undertook in high school to increase elementary school students' access to computer science education. We created lesson plans, did live workshops, and led interactive coding seminars to a class of about 20 students ranging from 3rd - 5th graders. We were really excited to see about a 50-50 male/female ratio, as well as a large turnout of traditionally underrepresented minority groups in computer science.