Sania Saeed

Passionate and results-driven iOS Developer with 1+ year of hands-on experience in developing native iOS, iPadOS, and macOS applications using Swift, UIKit, and AppKit. Skilled in building intuitive user interfaces, integrating REST APIs, and developing high-performance applications with a strong focus on clean code, performance, and user experience. Eager to contribute technical expertise, continuously learn emerging technologies, and grow within a collaborative development environment.

iOS Developer at TS Technology (2025-07 – Present) • Developed and maintained native iOS, iPadOS, and macOS applications using Swift, UIKit, and AppKit.

• Designed and implemented responsive user interfaces with Auto Layout, Storyboards, XIBs, and custom UI components.
• Integrated RESTful APIs, third-party libraries, and features including ADB/MTP-based Android device connectivity.
• Built and enhanced applications such as AI Video Generator, ChatBot, QR Scanner, Printerlify, Space Cleaner, Math Solver, Recipe Maker, Battery Alert, and Reverse Audio.
• Improved application performance, stability, and user experience through debugging, testing, and code optimization using Git and Xcode.

Machine

Learning | NLP Intern at Hive Technologies (2024-02 – 2024-07) • Developed a Fraud Detection Dashboard using Python and Streamlit for real-time anomaly visualization.

• Performed data preprocessing, feature engineering, and model evaluation using Random Forest and XGBoost.
• Collaborated with team members to improve code quality and project efficiency using Git and Agile practices.
• Developed a machine learning-based spam classifier using Python (Scikit-learn).
• Preprocessed text data using TF-IDF vectorization and trained models like Logistic Regression and Naive Bayes.
• Evaluated system performance using accuracy, precision, and recall metrics.

BS in Artificial Intelligence – National Textile University, FSD (2021-11 – 2025-06)