Music Recommendation System
Personalized recommender using content‑based filtering and cosine similarity. Built in Python with NumPy, pandas, and scikit‑learn; runs from the command line.
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.
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.