LALITH NIVAS YADLAPALLI

Dynamic and results-driven professional with hands-on experience in AI and cybersecurity from internships at Suven Consultants and Palo Alto. Proficient in Java and AWS, I excel in threat detection and web development, demonstrating strong analytical skills and a commitment to enhancing system security and user experience.

I hereby declare that all above information is correct with fact or truth up to my knowledge and I bear the responsibilities for the correctness of the abovementioned particulars.

Diagnostic Methods for Brain Disease Using Machine Learning and Deep Learning: Principles and Recent Advances, In this project, I focused on detecting four brain diseases - Parkinson's Disease, Brain Tumour, Epilepsy Disorder, and Alzheimer's Disease - using CT and MRI scan images. I employed Support Vector Machines in conjunction with Convolutional Neural Network (CNN) architectures. Additionally, I explored transfer learning techniques using ResNet, VGG16, and VGG19 to enhance the model's performance in diagnosing these conditions.

• English, Fluent
• Telugu, Fluent
• Hindi, Basics