Undergraduate Research Assistant
Duarte Lab · Particle Physics & Machine Learning
Researching supervised and unsupervised models, distributed ML pipelines, calibration, benchmarking, and scientific interpretation.
About
A path through research, computation, and design.
I’m an ML research engineer trained in computational physics at UC San Diego. I work from first principles, build controlled experiments, and care about carrying good ideas into reliable systems.
B.S. Physics
Computational Physics specialization · Speculative Design minor
A technical foundation in numerical methods, scientific computing, and first-principles reasoning—paired with a lens for how emerging technologies shape experience.
The toolkit, kept sharp.
Programming & frameworks
Python · SQL · C · PyTorch · scikit-learn · SciPy · FastAPI
Machine learning
Deep learning · Classification · Anomaly detection · Time series · Signal processing
Research infrastructure
Distributed GPU computing · Docker · Kubernetes · CI/CD · Benchmarking
Domains
Computational physics · Embedded systems · Sensor integration · Speculative design