Spearheading a comprehensive Construction AI platform leveraging machine learning and computer vision for end-to-end project management. Developed intelligent modules for automated quantity takeoffs, clash detection, and BIM integration. Resulted in 30% improved prediction accuracy.

Led the development of an AI-powered construction management platform revolutionizing project lifecycle automation. Engineered modules including InnTime, InnSite, and InnEQM, leveraging advanced analytics to optimize resource allocation. Reduced project timeline delays by 40%.

Engineered an intelligent next-word prediction model leveraging the extensive PubMed biomedical literature database. Developed transformer-based language models optimized for scientific writing, achieving 91% prediction accuracy.

Developed and implemented a robust credit card fraud detection system utilizing supervised machine learning algorithms. Achieved 99.4% accuracy through ensemble methods and hyperparameter tuning.