A logical and detail-oriented freshman at Cornell University studying computer science. Previously, an intern on the Machine Learning Team at Ada Support. Researched automatic classroom lecture summarization using AI and deep learning in high school. Understands machine learning in production and full-stack web development. Maintains open-source NLP programs that perform state-of-the-art neural text summarization. Publishes guides for cybersecurity challenges. Enjoys running cross country in the fall and skiing in the winter.
Impersonate your friends on Discord using the latest research in AI and machine learning. Originally developed during BigRed//Hacks @ Cornell.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
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 Advent of Code 2020 puzzles. Earned all 50 stars. Solutions written in Python.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
Models to perform neural summarization (extractive and abstractive) using machine learning transformers.Learn More
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
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
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
Increased valuable customer interactions by enabling Ada chatbots to better understand non-English languages. Collaboratively developed and trained multilingual models using state-of-the-art architectures.
Conducted scientific research & created a state-of-the-art system to summarize classroom lectures using machine learning, computer vision, and NLP. More info on the project page.
Furthered research in neural-network text summarization models, specifically in less researched areas such as long document summarization. 4.45x smaller than state-of-the-art but 94% as accurate. High code quality and thoroughly documented. More info on the project page.
Placed 609 out of 15,817 during the 2019 competition and later completed all 121 challenges. During the 2021 competition, placed 25 out of 2280 (top 1.1%) among US Middle/High School students. Learned ethical hacking skills including cryptography, forensics, reverse engineering, and binary exploitation.
Completed parts one and two. Developed an understanding for advanced deep learning concepts by building several near state-of-the-art models and writing many machine learning functions from scratch. Built AI Respiratory Doctor.
Completed “Introduction to Java” and “Advanced Java” courses. I also took AP Computer Science A through CTY.
Completed java challenges and projects
Completed about 400 hours of coursework. Built 10 front-end projects (available on CodePen). Completed 347 coding challenges.
Lynda.com: 19 courses completed including the “Programming Foundations” series by Simon Allardice
CodeCademy: Completed various tutorials involving basic web development
Info: Incoming freshman to the College of Engineering.
Info: Always enrolled in highest level courses. Conducted research into machine learning & computer vision through Science Research program. Took every available computer science course.