I am an undergraduate student at MIT with interests in the fields of biological engineering, electrical engineering, and computer science, as well as environmental and social justice. I have experience mainly in Java, Python, HTML, CSS, and JavaScript, and my projects include machine learning, web design, electronics, and games. In addition to programming, I have leadership, mentoring, and tutoring experience in robotics, climate science, and other STEM subjects.
At the Naval Postgraduate School, I led my student intern team to analyze data from underwater
unmanned vehicles. Our project involved extracting image and meta data from sonar files, applying machine
learning techniques to identify potential mines, developing a distributed data storage and processing
platform, and displaying results for end users. We presented this project at the Data Analytics Summit, and
are in the process of publishing our research.
Technologies: Java, Hadoop, Tomcat, and Python
This project, submitted for HackMIT 2020, is a web application to analyze crowdsourced,
geotagged images to determine whether people are following COVID-19 public safety guidelines at different
locations. Based on metrics detected from the image including how many people are wearing masks, the app
provides a score for how safe a location is. The map view shows the distribution of where there is the
highest risk of spreading COVID-19, and provides an intuitive visualization for infraction hotspots. This
helps better inform both the public and law enforcement of public health risks.
Technologies: PyTorch, TensorFlow, OpenCV
This browser extension won the Attendees' Choice Award at the HackThis HackIllinois virtual
hackathon. Our concept combines various productivity features, including todo lists, class reminders,
pomodoro timers, and distraction-website blocking, into an easily accessible yet unobtrusive product. The
extension is primarily targeted towards students and educators, especially during the period of remote
learning caused by the COVID-19 pandemic.
Technologies: HTML, CSS, JavaScript, and MongoDB
A web app where students can submit ideas for events to help our newest dorm, West Garage, build
its community! You can submit event ideas from your own living group, or come up with original content.
You can also suggest whether events are for the internal West Garage community, or if they should be for
the dorm to connect with all MIT students. Finally, upvote your favorite ideas and downvote those you don't
like! The top ranked ideas will be publicized directly to students living in West Garage.
Technologies: Streamlit, Python, IBM CloudFoundry, Cloudant
The team website for FRC 5104, the BreakerBots. My work on the site included designing the
public face and maintaining the team's online presence for interested students, sponsors, and other teams to
learn about the BreakerBots.
Technologies: Google Cloud, NodeJS, HTML, CSS, and JavaScript
For the primary part of this project at the Naval Postgraduate School, I analyzed aircraft
flight data to detect potentially hazardous anomalies. I implemented a K-means clustering algorithm of time
series with dynamic time warping.
Technologies: SciKit learn, other Python libraries, and TensorFlow
Developed at the Code for Princeton Annual Hackathon, this project intends to
provide an intuitive visualization of current air quality for environmental and health
purposes. The device shows users the overall Air Quality Index, as well as levels of
five major pollutants regulated by the clean air act.
Technologies: Python, Arduino