• Designed an object detection model using YOLOv5 to accurately identify facial marks and various skin diseases.• Preprocessed and cleaned large datasets of medical images to improve model performance and accuracy.• Developed a data pipeline to automate the processing, augmentation and labeling of Images and data points.• Visualized findings and ensembled results from multiple models in a comprehensive manner to enhance interpretability.• Analyzed EMG wave data to develop an early detection system for lower back pain, leveraging medical insights and machine learning techniques.• Cleaned and normalized raw EMG datasets to remove noise and artifacts, ensuring accurate model predictions.• Collaborated with medical professionals to validate the cleaning effectiveness, ensuring its practical application in early diagnosis.• Developed a Point of Sale (POS) application using Flutter, tailored for small and medium-sized businesses.• Implemented a dynamic dashboard for real-time sales and profit overview,• Integrated advanced reporting capabilities, allowing users to generate detailed reports for specified time periods in various formats.• Utilized data visualization techniques to present sales and purchase• Incorporated SQLite for seamless offline usage• Implemented user-based roles to ensure secure access control

• Developed a dynamic web application using PHP for backend development.• Utilized SQL for efficient data management within the application.• Crafted an intuitive user interface using HTML, CSS, and JavaScript for frontend development.• Implemented features such as picture uploading and interactive forms to enhance user experience.• Played a leadership role in training interns, imparting expertise in PHP development.• Demonstrated proficiency in full-stack development and dedication to backend development within the technology industry