Rameez ur Rehman Siddiqui holds a B.E. in Mechanical Engineering and an M.S. in Data Science from NED University. He began his career at CETE as a Data Analyst and has since advanced to AI Specialist, bringing a diverse blend of experience from the automotive, textile, and academic research sectors.

With deep expertise in AI and Deep Learning, Rameez specializes in developing large language model (LLM) powered computer vision solutions, from fine-tuning to deployment, particularly in neuroimaging and urban traffic analysis.

At CETE, he leads AI initiatives that connect cutting-edge technology with real-world applications. His portfolio spans medical research, where he applies AI to predict disease outcomes, optimize treatments, and streamline pre-hospital emergency care.

His current work focuses on building AI pipelines that transform pre-hospital emergency clinical notes into actionable data using advanced NLP and LLM techniques. He also oversees database management and ETL processes to ensure secure, efficient data handling, develops and deploys healthcare chatbots to support emergency operations, and designs statistical models to forecast malnutrition rates.

Driven by innovation, Rameez consistently transforms advanced AI concepts into impactful tools that improve decision-making, enhance healthcare delivery, and address pressing societal challenges.​