Hi, I'm Justin
Ambitious Software Engineer with deep interest in building robust and scalable applications.
JM

About

I graduated with a B.S. in Computer Science at age 19, completing the full four-year curriculum in a single year. During this accelerated period, I co-authored a research paper that was accepted into the ACM CHI 2025 conference and presented it in Yokohama, Japan. Alongside my studies, I served as the Technical Co-Founder of Campus Concierge, where I architected the entire platform and shipped 64,000+ lines of code to take the product from concept to 300+ users. Following my undergraduate degree, I spent the summer of 2025 interning as a Software Engineer at Target (Fortune 50). I am currently pursuing an M.S. in Data Science, while conducting graduate research and serving as a Graduate Teaching Assistant.

Work Experience

Skills

React
Next.js
Typescript
Node.js
Python
Go
Postgres
Docker
Kubernetes
Java
C++
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

Campus Concierge

Built a cross-platform React Native mobile app with Expo, Zustand state management, and real-time internal messaging for an on demand, peer-to-peer student help marketplace, enabling instant task matching and seamless communication. Developed a scalable Go backend using Fiber framework with WebSockets for live updates, Cloudflare R2 for blob storage, PostgreSQL with Sqlc/Pgx, and Stripe Connect payments, while automating email workflows via Resend API.

Go
Sqlc
Pgx
WebSockets
React Native
Stripe
Cloudflare R2
Docker
GitHub Actions
AWS EC2
Traefik
Grafana
Loki
Prometheus

Reinforcement Learning Visualized

An interactive Deep Q-Network training environment based on GridWorld with TensorFlow, enabling real-time experimentation through a user-facing interface that allows dynamic modification of observables and hyperparameters. Implemented live training analytics, including reward curves and convergence diagnostics, to support interpretability and debugging of RL behavior including a preview for the configurable neural network architecture.

Tensorflow
Katex
D3
Javascript
TailwindCSS

HAPPI - ACM CHI 2025 Conference Paper

Designed and built “HAPPI,” a robot system leveraging Raspberry Pi, Python, REST APIs, and Bluetoothctl to foster social connections through handwritten/digital message exchange and user-centered design. Deployed HAPPI in real-world settings, iterated on hardware/software integration (multi-printer threading, local MySQL/webserver, automated moderation via Discord bot), and enhanced engagement via research-driven refinements.

Flask
Python
Discord API
Raspberry Pi
PyGame
Bash
MySQL
Bluetoothctl

Tensorly

(Under Development) A platform for learning machine learning concepts through interactive challenges in your browser.

Golang
Next.js
Typescript
PostgreSQL
Prisma
TailwindCSS
Shadcn UI
Magic UI
Contact

Get in Touch

Want to chat? Just shoot me an email at hello@ozerodev.com and I'll respond whenever I can. I will ignore all soliciting.

GitHub
LinkedIn