Mahathi Gudimella

Trained and fine-tuned ML models to detect health diseases from fingernail images. Employed traditional image processing alongside deep learning models for improved accuracy.

Engineered a Context-Aware Animated Image Generator using a dataset of over 5000 images. Developed a custom machine learning model to interpret image-caption pairs, achieving high-fidelity animation output.

Mentored students in Computer Vision and AI, delivering lectures on machine learning techniques. Taught core ML/AI concepts and guided students in implementing computer vision methods. Conducted sessions on data preprocessing and model optimization, facilitating discussions on industry applications.

Implemented a Deep Convolutional Neural Network to classify distracted drivers with high accuracy. Utilized deep learning techniques to extract visual attributes and improve classification performance.

Developed and tested machine learning models using Python, TensorFlow, and PyTorch. Conducted experiments to improve model performance and collaborated with data scientists to integrate AI solutions. Developed RESTful APIs and optimized backend workflows.

Developed and deployed ML models for programmatic advertising, optimizing ad placement using listener demographics. Built predictive analytics models to forecast music trends and engineered AI-powered audio monitoring systems for quality detection.

Designed and implemented mixed-integer linear programming models to optimize logistics cost functions. Integrated optimization techniques and engineered a data preprocessing pipeline for predictive models in demand forecasting.

Pursuing a Master of Science in AI, ML and Deep Learning, focusing on advanced concepts in artificial intelligence and machine learning, including supervised learning, neural networks, and computer vision techniques.