Aspiring Software Engineer with a strong foundation in AI/ML, cloud technologies, and enterprise platforms, complemented by hands-on experience in Azure AI and ServiceNow. Adept at translating complex requirements into innovative, scalable, and value-driven solutions.
Architected a convolutional neural network capable of accurately classifying brain tumor images. Engineered an image-preprocessing pipeline that enhanced prediction reliability and model consistency. Integrated a Flask-powered backend with a responsive web interface enabling real-time diagnostic predictions.
Devised an intelligent voice-classification framework utilizing advanced audio feature extraction techniques. Architected a modular object-oriented codebase to improve maintainability and scalability. Implemented real-time inference services through Flask APIs, enabling efficient prediction delivery.