ALAHARI PAVANA SREE

Recent graduate with excellent research, technical, and problem-solving skills. Detail-oriented and able to learn new concepts quickly. Motivated Cybersecurity Intern with experience in implementing security measures for protecting network systems and data. Strong understanding of cryptology, risk assessment, vulnerability testing, and firewall management. Demonstrated skills in troubleshooting, identifying potential threats and providing solutions to enhance system security. Proven record of improving efficiency and enhancing system protection in previous internship role.

• Cloud Internship - MPIT Certificate
• Google IT Support - Coursera Certificate

• Engineered a hybrid deep learning model to enhance the accuracy of malaria detection from microscopic blood smear images, achieving an improved diagnostic speed and efficiency.
• Utilized Convolutional Neural Networks (CNNs) for automated feature extraction from image datasets, effectively identifying key visual markers of infected red blood cells.
• Integrated a hybrid architecture combining CNNs with a classifier (such as a Recurrent Neural Network (RNN) like LSTM, or a traditional classifier like SVM) to improve classification accuracy and robustness.

• Team Lead, Mohana Mantra, 10/2024, Wing Head in National level Techno-cultural fest 'MOHANA MANTRA'.
• Coordinator, National Service Scheme, 07/2023 - 10/2023, Lead in National Service Scheme-NSS.