About Me

Development

Data

Fitness

Hey! I'm Justin and I enjoy creating and exploring new things. I'm currently attending the University of Michigan as a senior studying computer science + statistics. I'm looking to find a career in full stack development and/or mobile development, but also interested in exploring machine learning & other fields on the side.

Outside of classes, I'm always trying to engage myself with new knowledge and tackle challenging projects. During my time on campus, I was involved in statistics and analytics through my student-led sports analytics club. I've so far done three hackathons (winning a track in my first one!) and plan to attend more! Furthermore, I volunteered over the past summer to build a search platform for the School of Public Health.

In my spare time, I can be found on the tennis courts, in the gym, or hanging out with friends. Since college, I've picked up interests such as snowboaring and playing the guitar. I love board games, especially Settlers of Catan, and when I'm winding down for the day I enjoy reading self-improvement books like Atomic Habits.

Technologies I've worked with:

Work Experience

Featured Projects

EZ Routine

Having spent countless hours trying to perfect my own workout routine, I found it hard to track and manage different workout routines and plans. I created this mobile app to help other gym goers who have yet to find a simple, yet powerful UI to manage their workouts and progress. GitHub

React Native

Expo

SQLite

React Query

ELEMENT Data Search

With a team of 2 other students and Professor Lin Ma, I volunteered to build a search platform to auto-suggest and display metadata from health studies under ELEMENT for Michigan's School of Public Health. ELEMENT (Early Life Exposures in Mexico to Environmental Toxicants) is an international research effort that follows 3 cohorts from birth in Mexico City for more than 25 years. With the search platform, researchers are easily able to search and filter data. Backend scripts were also implemented for metadata extraction and filtering from unstructured documents. ELEMENT Study Intro & Search Platform & GitHub

VueJS

PrimeVue

JavaScript

SQLite

Python

ZenStock

I created a stock investor web platform with my team at MHacks 16 hackathon. The application utilizes NLP through Hugging Face, experimenting with different financial sentimental analysis models. Our inspiration for the project idea is a combination of Acorn and Robinhood, where a user without investing experience can start their investment journey through our stock recommending system. It won 3rd place for best Financial Hack. Devpost Submission & GitHub

ReactJS

Hugging Face (NLP)

Python

Pytorch

MaterialUI

Personal Website

Over the 2023 winter break I worked on building this project and its entirety. I focused on challenging myself to learn the fundamentals of HTML and CSS by using no supporting libraries or frameworks. This is the first iteration and I plan to have improved or different designs in the future. GitHub

HTML5

CSS3

JavaScript

Can Stolen Base Decisions be Efficiently Simplified?

Co-authored a paper for the 2023 SMT Data Challenge. I worked with a few members of my sports analytics club over the 2023 summer to research insights on a game situation in baseball. Analyzed the impact of baseball catcher pop time, throw speed, and runner leadoff distance on successful stolen base runs for players to optimize their game decisions over a dataset of 1 million records using R (tidyverse) in Google Colab. Contest Specifications & GitHub

R (tidyverse)

MonopolyGO! Trading

In spring of 2023 I created a sticker trading platform for the popular mobile game MonopolyGO!. The platform finds the best trade matches between users. My inspiration came from playing the game myself, since I often felt frustrated with the current trading methods and wanted to make a stress-free, automated process. I'm continuing to maintain & update the website, which has garnered over 730+ registrations. Website & GitHub

NextJS

TypeScript

TailwindCSS

MaterialUI

MongoDB

Mongoose

AWS Amplify

ShopCrunch

Built a simple e-commerce website in the Forge Launch bootcamp program. Features a chatbot, online payment via Stripe API, and a products filter. GitHub

ReactJS

Firebase

ExpressJS

Heroku

MaterialUI

Analyzing Penalty Calls on Michigan Hockey Players

I worked with the analytics department in the Men's Michigan Hockey team to draw insights into potentially unfair penalty calls and biased referees against Michigan players. Penalty and referee data since 2014 were scraped from boxsheets online and visualized using Tableau software. More Info (old)

Python

BeautifulSoup

SQL

Tableau

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