About Me
I'm a computer science student at the University of Virginia. I have a strong passion for learning and applying knowledge to solve complex problems. I value technical knowledge as much as communication, empathy, and collaboration. I also have a love for research and have been heavily involved in research as a student at UVA. Some of my other interests include machine learning, cybersecurity, and AI. I also love playing guitar and drawing.
Projects
Here are some exciting projects I've been working on
Vibe
Get insights into your Spotify listening history (10,000+ users)
Vibe gives you incredible insights into your listening habits. Compare your most recent songs to the top tracks of the day, your last month of listening, and even your favorite songs based on popularity, happiness, danceability, and more! Visualize trends in your favorite songs over your entire Spotify listening history and how they stack up against the top songs of each year. Rediscover the songs and artists you’ve been in love with the most. This web application acquired over 10,000+ Spotify users from 50+ countries in 2 weeks. I used Spotify's Web API to retrieve and analyze data and the implicit grant OAuth2 flow for authentication. This is my first web application built with React. I learned about class/functional components, JSX, props, state, and lifecycle methods and utilized concepts such as Async/await, promises, callbacks, etc. React js allowed me to organize my code so that I could adhere to DRY principles and better programming practices.
Crave
My First Web Application
This web application uses Yelp's Fusion API to help users pick a restaurant or experience. The app obtains user location via HTML5 Geolocation and plots merchants on a map based on search terms and search rules. I built this app with HTML, CSS, Javascript, and the Bootstrap library. I leveraged the Google Maps API for route calculations, geocoding, and displaying markers on a map. Before working on this project, I had never wrote a single line of HTML or CSS and I had very little experience in Javascript. This is why I used vanilla Javascript with JQuery and Axios for modifying HTML and making API requests respectively. I submitted this project to apply for the Capital One Software Engineering Summit Program. I was luckily selected as one of thirty students to participate in this program out of hundreds of applicants nationwide.
Visionary
A Voice-Driven Screen Reader
I was inspired by an article that detailed the struggles that blind individuals faced when using the internet. In order to navigate websites, blind individuals use software which reads aloud every element of a webpage, often overwhelming the user with extraneous information. I envisioned a screen reader that would allow users to effectively control their browsers by using voice commands. I developed this in Python because of the many robust libraries written for Python. The program then uses Beautiful Soup to parse the HTML for key information and the Selenium library to automate browser navigation. Lastly, the program composes output based on the user input, then converts this output to voice for the user. I am currently researching integrating AI/ML or leveraging an accessibility API to scale this to other websites.
Resistive Memory Research
LiDAR and Ray-Tracing Simulations
I am currently researching applications of resistive memory at UVA. Resistive memory (memristors), are a two-terminal method of storing data and enabling parallel computing, based on spike-based neural networks by mimicking authentic bio-neural spike response. Memristors have promising applications in distance mapping and 3D imaging technology. I developed LiDAR and ray tracing simulations to properly model the applications of memristors. I used software to simulate LiDAR by placing 3D objects using XML to generate 3D point clouds and modeled optical ray tracing simulations and collected data accordingly. The figures and data generated by my simulations will be featured in the research paper as well as The Spectra, the Undergraduate Science and Engineering Journal at UVA.
My Personal Website
You're looking at it :)
This personal website is a portfolio of some of my projects and experiences. I built this website with HTML, CSS, Javascript, and Bootstrap. I used Particle js to create the background effect on the landing page (try clicking and moving your mouse around). A lot of elements you see on this website are custom made. I did not just use a template and paste my own content in. For example,I built the carousels with custom CSS to add features that Bootstrap's carousels did not offer. I also used JS to create interactive navigation based on what the user is viewing. I animated elements with animate.css and wow.js. The main challenges of creating this website was conceptualizing the design I wanted to create, and executing the design in a fully responsive website.
My Resumé
Education
Bachelor's in Computer Science
University of VirginiaNational Collegiate Cyber Defense Competitor (Core UVA Team), HooHacks (Marketing Committee), Computer & Network Security, Future Business Leaders of America, Sigma XI Research Society, Society for Science & the Public
Experience
Slack
Software Engineering Intern, Product Security- Developing a static analysis tool to identify security vulnerabilities in Slack’s codebases (> 5.5MM lines of code)
- Eliminating >11k tree-sitter grammar errors, increasing parsing coverage to 100%, & open sourcing it under Slack HQ
- Making Slack more secure, enabling Slack to expand into public sector agencies through FedRAMP high compliance
GGV Capital
NextGen Fellow- GGV Capital is a global venture capital firm that invests in local founders building market-leading companies. GGV is sector-focused, investing in social/internet, enterprise tech, and smart tech from seed to growth stage from five offices around the world. GGV has $9.2 billion in assets under management across multiple funds. Next-Gen Fellows is a summer program designed to build the skills necessary for a career in technology.
- Software Engineering Intern at Slack https://www.ggvc.com/ggv-nextgen-fellow/
Capital One
Software Engineering Summit Intern- Selected as 1/40 students from 400+ national applicants for developing an outstanding web application with the Yelp API
- Participated in classes on iOS, hardware, Firebase, machine learning, and Azure
- 1st Place Hackathon: Developed a Chrome extension budgeting app and presented to 12 Capital One VPs & Executives
Leidos
Software Engineering Intern- Developed a tailorable, configurable portfolio management dashboard to provide leadership level visibility, program transparency and proactive decision making capabilities
- Implemented features using Typescript, React, JavaScript, Git, web-developer tools, Jira API, and UI design
- Processed user stories by using an Agile methodology & participated in bi-weekly sprint plannings/retrospectives
CloudShape
CloudLab Intern- Managed an IT lab environment for implementation of customer solutions by configuring and administering 10+ Dell PowerEdge servers, Synology NAS, and SuperMicro servers with VMware and Citrix Xenserver
- Established data center access by implementing 3 RDP jump boxes, IDRAC, DNS, and AD DS on Windows Server VMs
- Developed detailed documentation of data center hardware, networks, and servers with Visio, KeepassX, and Excel
- Adapted the lab to changing needs by coordinating with engineers and presented work to a team of solution architects
Science Applications International Corporation (SAIC)
Intern- Collaborated with a team to design a solution using optical satellite to image the equator of Mars
- Applied Python to perform calculations related to radar and satellite imaging with numpy, pandas, and matplotlib
- Presented work to a panel of SAIC VPs, executives, and engineers
Skills
Programming Experience
Technical Experience
Awards
Entrepreneurship Concept Competition Winner
University of Virginia- Awarded $1000 for Science, Technology, & Innovation focused concept
- Increasing web accessibility for blind and vision-impaired individuals through optimized HTML parsing and speech-based interactivity
Rodman Scholar
University of Virginia- Awarded to 5% of each entering class of the School of Engineering based on their potential to become the engineering leaders of tomorrow, evidenced by their superior academic performance and engagement in improving the world around them.
4th Place - Intel International Science & Engineering Fair
Intel and the Society for Science & the Public- Designed and performed an experiment to investigate the use of Intralipid in reversing bupivacaine toxicity and applied Intralipid as treatment for Nebivolol, Propranolol, and Metoprolol overdose at NIH.
- Awarded 4th Place Grand Prize at the Intel International Science and Engineering Fair for outstanding research.
