Rameez ur Rehman Siddiqui holds a B.E. in Mechanical Engineering and an M.S. in Data Science from NED University. Currently working as a Data Analyst, he brings experience from industries including automotive, textiles, and academic research. His expertise lies in AI and Deep Learning, where he develops computer vision models for urban traffic analysis and explores neuroimaging techniques.

At CETE, Rameez leads AI and machine learning projects, focusing on turning advanced technologies into real-world solutions. He’s also involved in medical research, using AI to improve models for predicting disease outcomes and optimizing treatments.