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