Developed a facial recognition application achieving 98% accuracy and capable of processing large datasets efficiently, processing 5,000 to 10,000 images in under 10 seconds.Designed and implemented a system for categorizing form responses and sending customized emails automatically, processing over 100,000 form responses.Introduced the TrackingPixel feature to monitor email interactions, logging the exact time and date of email opens and the number of times an email was… Show more Developed a facial recognition application achieving 98% accuracy and capable of processing large datasets efficiently, processing 5,000 to 10,000 images in under 10 seconds.Designed and implemented a system for categorizing form responses and sending customized emails automatically, processing over 100,000 form responses.Introduced the TrackingPixel feature to monitor email interactions, logging the exact time and date of email opens and the number of times an email was opened.Acquired proficiency in Python, Flask, Facial Recognition technologies, Nestjs, SQL, and other backend technologies.Demonstrated problem-solving abilities by creating innovative solutions for automated email categorization and tracking. Show less