Saad Ashraf

Saad Ashraf is a passionate Machine Learning and Data Science professional with over 2 years of experience in developing AI solutions focused on computer vision, natural language processing, and deep learning. They have contributed as a Research Assistant at FAST-NUCES, where they applied BERT-based models for sentiment analysis and trained a Random Forest classifier, achieving an accuracy of 84%. Saad has also served as a Teaching Associate, delivering lab sessions in Parallel and Distributed Computing, and is currently working as an AI/ML Engineer at Simplelogix while leading AI/ML initiatives as Team Lead at GDGOC FAST NUCES CFD. Saad is pursuing a Bachelor of Computer Science at FAST-NUCES.