Data Scientist with product instincts. I build ML systems people actually use.
- Chrome Extension: AI context transfer tool (published, daily active users)
- Fraud Detection: Graph Neural Networks achieving 93% precision
- iOS/Mac App: Wireless trackpad with 120fps gesture recognition
- ML at Scale: Recommendation systems processing 25M+ records
ML/AI: PyTorch, TensorFlow, Graph Neural Networks, LangChain
Data: Spark, PySpark, SQL, Pandas, NumPy
Cloud: AWS, GCP, MongoDB, PostgreSQL
Languages: Python, JavaScript, Swift, R
"Simple solutions to real pain points win."
I optimize for user value over technical complexity. The best code is code that gets out of the way and lets people do what they're trying to do.
Recently completed: MS Data Science @ Stevens Institute of Technology
Looking for: ML/Backend roles where I can own meaningful pieces of hard problems