Hyunmin Kim

A recent Bachelor of Science graduate in Information Technology with a solid foundation in Software Development and Data Analytics. Eager to apply academic knowledge in practical settings and dedicated to professional growth in the IT industry. Enthusiastic about tackling problem-solving situations, with meticulous attention to detail and a passion for delivering high-quality results. Seeking an entry-level role where I can contribute fresh perspectives, learn from experienced professionals, and make a meaningful impact.

• Advanced Software Development: SEP 2024 – NOV 2024

Developed a web-based Restaurant Management Application to streamline operations, including table reservations, menu updates, inventory tracking, and payment processing. Led Java with JSP for the front end, MySQL for database management, and Maven for build automation. Integrated user feedback, error handling, and staff management features to enhance performance and user experience.

• Machine Learning: SEP 2024 – NOV 2024

Developed machine learning models to predict AUD/USD currency pair prices using 15 years of historical data. Implemented LSTM, LSTM+GRU, and LSTM+GCN models to capture temporal dependencies and improve forecasting accuracy. Achieved R² values up to 0.996 by employing robust preprocessing and evaluation techniques.

• Application Development with .NET: SEP 2024 – NOV 2024

Built a web-based inventory management system using ASP.NET Core and SQL Server, following the MVC architecture for scalability and maintainability. Developed features such as role-based access control, real-time stock monitoring, and CRUD operations. Integrated audit logging to ensure data transparency and accountability.

• Image Processing and Pattern Recognition: SEP 2023 - NOV 2023

Classified Cassava plant diseases using machine learning and deep learning techniques, including SVM, decision trees, and CNNs. Preprocessed images with resizing, normalization, and augmentation to improve model performance. Optimized VGG-19 architecture, achieving 68% accuracy while minimizing false negatives in disease detection.

• Data Structures and Algorithms: FEB 2023 ~ JULY 2023

This course introduces students to the design, implementation, and evaluation of fundamental data structures and algorithms using C++. Topics include arrays, linked lists, trees, graphs, sorting algorithms, and recursion, focusing on efficiency and optimization. Students gain practical experience through programming assignments and exercises, developing advanced problem-solving and software design skills.

• Software Architecture: SEP 2023 - NOV 2023

Designed 'Sea Buoy,' a software system to research and monitor marine environments. This project provided comprehensive experience designing complex software architectures and taught me an effective method for evaluating and enhancing system performance.

• Application Development in the iOS Environment: FEB 2024 ~ JULY 2024

Gained proficiency in designing and activating basic app functionalities using Swift and Xcode. Developed a restaurant management app that integrated Core Data for local storage and featured user-friendly interfaces aligned with Apple's Human Interface Guidelines. The app included table reservations, menu management, and event scheduling capabilities.