Projects
Structured the end-to-end system integrating hardware (biosensor reagent card), computer vision/image analysis, and cloud infrastructure, achieving 99\%+ diagnostic accuracy validated against third-party lab results
- HealthTech
- AI/ML
- Cloud Computing
Through rigorous experimentation using 3 very different deep learning-based models, establish the ability to circumvent transfer learning and domain adaptation-based approaches while doing vessel segmentation on retinal scans.
- Python
- Deep Learning
- Team Project
Technical skills
- Languages
- Python, C++, C, C#, SQL
- ML
- PyTorch, TensorRT
- Tooling
- Linux, MongoDB, Git