Who I am
I build and ship machine learning systems that balance research depth with production reliability.
I enjoy the full stack of ML work:
- data preprocessing and ETL
- model design and training
- evaluation and error analysis
- deployment, CI/CD, and monitoring
What I care about
- Clinical and socially meaningful AI applications
- Reproducible experimentation and robust validation
- Bridging modern generative methods with real-world constraints
Current identity
Graduate Student at USC, working toward roles in AI/ML engineering and applied research.