Founded PixelOS, an AOSP custom ROM focusing on simple and clean UI with Google Pixel like appearance and feature set.

Developed a user-friendly interface and visualizations for medical practitioners to interpret AI model predictions. Implemented deep learning algorithms using frameworks like TensorFlow and PyTorch for image recognition, segmentation, and disease classification. Troubleshooting data quality, model performance, and system stability is crucial to deliver a reliable AI-powered medical imaging system. Additionally focused on user training, ethical considerations, and incorporating a feedback loop for continuous improvement.

Successfully established secure authentication protocols for both frontend and backend systems, ensuring robust user login procedures and safeguarding sensitive data.Played a key role in troubleshooting and resolving issues across various projects, contributing to improved project stability and functionality.Developed a user-friendly frontend interface from the ground up using Material-UI framework, delivering an intuitive and polished user experience for a critical project.