I love turning everyday issues into tools everyone can use. Below are a few projects I’m proud of.
A quick tour of work spanning machine learning, voice assistants, and desktop apps.
Jetson-Nano powered smart-home core that runs a fully local LLM voice assistant and lighting automations. Built for PatriotHacks 2025, Apollo Core keeps all processing inside the home so it stays private and works even without cloud or Wi-Fi.
Real-time civic dashboard with agentic AI — heatmap + live incident feed (traffic, outages, safety, environment). Built in 7 hours; 2nd at GDG DevFest DC hackathon.
Personalized recommender using content‑based filtering and cosine similarity. Built in Python with NumPy, pandas, and scikit‑learn; runs from the command line.
Hackathon‑built Alexa skill that lets you choose an LLM backend (OpenAI/Microsoft/Meta) and chat via voice. Role: prompts, integrations, and change management. Award: 1st Place in the Most Likely to Become a Startup track
Desktop app from my IB CS internal assessment using a lightweight MVC design and local file storage. Simple GUI to add, view, and update passwords (learning project; not for production security).
Languages, frameworks, and platforms I’ve used.
Hi! I’m Christian, a software developer who enjoys building practical tools across ML, web, and voice. I’ve been programming for ~6 years and love communicating ideas, learning fast, and shipping clean, maintainable code. Outside of tech you’ll find me at the gym, on a basketball court, or tinkering with new side projects.
The fastest way to reach me is email. I’m happy to chat about roles, projects, or collaborations.