ysmaliak

• Developed an innovative application for detecting moles and various skin conditions from photos, providing users with the option to seek medical consultation. • Successfully integrated a machine learning framework to accurately detect skin conditions. • Collaborated with ML engineers, backend developers, and the QA team to refine detection algorithms and improve app performance.

• Developed a new application in collaboration with other iOS developers, backend developers, ML engineers, designers, and QA. • Successfully integrated a machine learning framework into the camera feed, enabling real-time mask application on video. • Utilized SwiftUI to build the entire app, ensuring a modern and responsive user interface. • Overcame significant challenges related to real-time processing and ML integration, enhancing the app's performance and user experience.

• Participated in the redesign of a complex app for managing various property types, including business and residential buildings. • Collaborated closely with designers, backend developers, Android developers, other iOS developers, and the QA team to ensure seamless integration and high-quality user experience. • Contributed to the implementation of new features and improvements, enhancing app functionality and user satisfaction. • Assisted in debugging and resolving issues, leading to a more stable and efficient application.