• Worked with a team of talented programmers and data scientists and built an AI-powered software solution which predicts human physiological measurements based on color patterns on a human face.

• Developed the backbone face-detection algorithm for the application from scratch to capture human face patterns from short videos using OpenCV and MediaPipe.

• Implemented a deep learning model with PyTorch based on a photonics paper which recognizes complex color patterns on short movies of human face to produce accurate predictions on physiological measurements. Visualized the predictions by plotting and graphing using Matplotlib library.

• Engineered robust Microservices Architecture API solutions utilizing Spring Boot and Spring Cloud, which enforce a domain driven design and improve flexibility and efficiency.

• Leveraged Redis to enable data caching mechanisms, which boosted average response speed by 40%.

• Collaborated closely with DevOps to integrate Jenkins, enhancing CI/CD pipelines and reducing deployment time.