Hi there! I am a computer science and business student at Lehigh who is focused on simplifying user interactions with technology, finding unaddressed niches, and delivering innovative solutions to users. I strive to be an early adopter of new technology so that I can deliver innovative products to users.
I have experience in machine learning, both in an industry and research setting. I also enjoy building web applications for my projects, clubs, and internships. Recently, I’ve delved into Blockchain and iOS development.
Now, I'm excited to create user-friendly UX/UI experiences and build secure, scalable backend systems. My commitment to staying current with industry trends drives my pursuit of professional growth. I'm actively seeking opportunities to contribute my skills to innovative web development and software engineering projects.
With experience in designing machine learning models and scraping/presenting large amounts of data, I've developed a MLB Game Predictor website and the Mountain Hawk Food Finder iOS app.
Last summer, I trained mathematical models and agent-based models based on historical data obtained by the CDC. I also created powerful data visualizations to provide actionable insights into mitigating influenza spread. My team's agent-based influenza modeling project came in second place in the Lehigh Summer Research Day Expo.
Outside of work, I spend time playing fantasy football, listening to music, and editing videos. I have played baseball since elementary school and like to play pick-up basketball with friends. I also enjoy participating in hackathons and programming challenges.
I’ve previously interned at STEM-SI, a research-intensive program in which I trained models to track the spread of influenza. I research for the Lehigh Blockchain group, where I currently am developing a Stellar-like hierarchical consensus mechanism to model a global cross-CBDC payment solution. Last fall, I was involved with making pseudo verkle trees in Rust using the Marlin and ark_works cryptographic libraries. In creating the verkle tree, I worked on creating polynomial commitments, inserting nodes into the trie, and verifying proof of membership and non-membership.
Linkedin Download My Resume
A website that displays the results of my machine learning model, which uses statistics from games from the previous two MLB seasons to decide the current MLB game winner.
GitHub View
