A motivated and results-oriented individual with a strong willingness to learn, adapt, and grow professionally. Possess effective communication, problem-solving, and teamwork skills, with a commitment to maintaining high standards of quality and professionalism. Eager to apply my knowledge and abilities to contribute to organizational success while continuously developing my skills and expertise.
Intern
IIITDM, Kurnool
- Developed a Telugu OCR system using CRNN (CNN + BiLSTM) with CTC Loss for accurate text recognition from images.
- Performed data preprocessing, augmentation, and synthetic dataset generation using Unicode-compliant Telugu fonts and the IIITHyderabad Telugu OCR dataset.
- Trained, validated, and optimized deep learning models using Python, PyTorch, and OpenCV, improving recognition accuracy and model robustness.
Handwritten Digit Recognition using CNN
Developed a Convolutional Neural Network (CNN) to classify handwritten digits from the MNIST dataset, achieving high classification accuracy. Implemented image preprocessing, normalization, and model training using TensorFlow/Keras with optimized hyperparameters. Evaluated model performance using accuracy metrics and confusion matrix analysis to improve prediction reliability. AI-Generated Image Detection using CNN
AI-Generated Image Detection using CNN Python
Built a CNN-based binary image classifier to distinguish AI-generated images from real photographs using the CIFAKE dataset. Applied image preprocessing, data augmentation, and train-validation-test splitting to improve model generalization and reduceoverfitting. Evaluated model performance using accuracy, precision, recall, F1-score, and ROC-AUC to measure classification effectiveness.
B. Tech in Computer Science and Engeneering
GITAM UNIVERSITY, HYDERABAD · 8.35
Attendee · Oct 24, 2026