A logical and detail-oriented junior at Cornell University studying computer science. Currently, researching AI song generation and an ML/SWE intern at Vocode. Previously, an intern on the Machine Learning Team at Ada Support.
Researched unsupervised object discovery with Dr. Ellis as a sophomore and paraphrase identification (published in NeurIPS 2022) with Dr. Sernam Lim as a freshman. Researched automatic classroom lecture summarization using AI and deep learning in high school. Understands machine learning in production and full-stack web development. Developed a state-of-the-art neural text summarization system with 360+ stars on GitHub. Publishes guides for cybersecurity challenges. Enjoys running cross country in the fall and skiing in the winter.
This site was generated using HUGO from an open source theme via Netlify.
For this project, I was named a top 300 Regeneron STS scholar. Lecture2notes is a state-of-the-art system to summarize classroom lectures using machine learning.Learn More
Models to perform neural summarization (extractive and abstractive) using machine learning transformers.Learn More
The AI-powered snow day predictor. Simply enter your zip code and an advanced AI will calculate your chance of having a snow day for the next few days.Learn More
An implementation of several state-of-the-art machine learning models that discover objects in images without being told what an object is.Learn More
My solutions to the PicoCTF 2019 computer security competition. I scored 13,900 points (top 3.8%) during the competition but have since completed all the problems to reach 34,201 points.Learn More
I was named a National Cyber Scholar with Honors for placing 23rd out of 3,277 (top 0.7%) in this cybersecurity competition.Learn More
This website is hosted by Netlify and is generated using my own custom open source theme using Hugo.Learn More
Impersonate your friends on Discord using the latest research in AI and machine learning. Originally developed during BigRed//Hacks @ Cornell.Learn More
My solutions to the Advent of Code 2020, 2021, and 2022 puzzles. Completed all challenges. Solutions written in Python.Learn More
An implementation of a machine learning architecture that detects when the current speaker changes in an audio file.Learn More
My solutions to the PicoCTF 2021 computer security competition. I scored 5,440 points (top 1.1%) during the competition as a solo player and placed 25th among US Middle/High School students.Learn More
My solutions to the PicoCTF 2022 computer security competition. I scored 12,000 points (top 3.2%) during the competition as a solo player and placed 248th.Learn More
Write-ups for various challenges from the 2021 HackTheBox 2021 Christmas CTF. Solved all web, crypto, and forensics puzzles.Learn More
Write-ups and tutorials for various cybersecurity challenges from HackTheBox.Learn More
A tool to automatically summarize documents using the BART Machine Learning Model.Learn More
A desktop app built with Electron that mimics the AI Respiratory Doctor web app.Learn More
A flask web app template for use with machine learning projects. Currently contains complete example code to run a fully functional X-Ray diagnosis AI.Learn More
I maintain a person server where I self-host applications such as Nextcloud, Guacamole, and more.Learn More
Completed about 400 hours of coursework. Built 10 front-end projects. Completed 347 coding challenges.Learn More
Working towards research in Computer Vision. Learning about machine learning though Fast.ai ML course and Stanford CS231n online.Learn More
Info: In the College of Engineering. President of the Cornell Cybersecurity Club.
Info: Always enrolled in highest level courses. Conducted research into machine learning & computer vision through Science Research program. Took every available computer science course.