Fast CV Detection for Cold Atom Cloud Experiments
Computer vision models delivering ~80× speedup for cold atom cloud detection; large-scale cloud training workflow.
Stack: Computer Vision, PyTorch, GCP, Data Pipelines
Built and trained CV models for detecting cold atom clouds for quantum experimentation, scaling training and processing over large datasets (30+ TB).
Focus areas:
- High-throughput inference
- Robust training + evaluation workflows
- Cloud-based data and training management