About Candidate
- Developed a proof of concept (POC) for a banking client to implement face verification
using Azure Face API.
- Developed web app using Python, Flask, HTML and CSS, leveraging Azure Face API’s
capabilities for face detection, verification and identification.
- Implemented robust error handling mechanisms and conducted extensive testing and
achieved 100% precision. Successfully demonstrated the POC to the client before the
deadline , receiving positive feedback on its accuracy, performance, and user
experience.
- Developed a proof of concept (POC) for another banking client to detect and track
people in videos using YOLO object detection and Deep SORT algorithm.
- Developed custom software components using programming languages such as
Python and utilized libraries and frameworks like OpenCV to process video data and
perform real-time people detection and tracking and achieved 82% accuracy.