* Built the first automatic fisheye calibration system, reducing calibration time from 3-4 hours to 30 minutes per camera.* Optimized stereo vision application functions utilizing Numpy, resulting in a speed improvement of up to 1000 times.* Developed Python fisheye image processing packages for better result showcasing with OpenCV and Numpy.

* Tested and analyzed diverse data mining algorithms on time series data, aiming to optimize algorithmic performance. * Employed Python data visualization modules such as Matplotlib to communicate the outcomes of data mining experiments. * Engaged in research to uncover mathematical proofs supporting observed attributes extracted from data, contributing to a deeper understanding of the underlying principles and ensuring robustness in findings.

* Developed Python applications for face recognition, incorporating intuitive graphical user interfaces using PyQt. * Conducted face detection and recognition leveraging OpenCV, Dilb, Vggface, and Facenet libraries.* Evaluated facial feature vectors and visualized analytical outcomes.