Ruby Kim

I am a motivated and responsible Computer Systems Engineering graduate (BE(Hons)) from the University of Auckland, with hands-on experience in IT development, data analysis, and machine learning. I apply advanced programming and engineering principles to real-world challenges and am passionate about utilising technology for innovation. Eager to contribute to impactful projects and continue growing in the field of IT.

Handwriting recognition project (March 2022 - April 2022)

• Designed and implemented a Python-based machine learning tool for recognising handwritten digits and English letters.
• Utilised a comprehensive dataset to train the model, achieving quantifiable accuracy in handwriting recognition.
• Developed an interactive GUI to enhance user engagement, integrating machine learning results and visualisations.

Game development project (May 2022 - June 2022):

• Designed and implemented a computer game in C++ with embedded functionalities using digital logic and design principles. Developed an interactive GUI to enhance user engagement, integrating machine learning results and visualisations.
• Developed a game controlled by a PS/2 mouse, DIP switches and DE0 board, and integrated the software programme with user interfaces.

Robot development project (July 2022 - November 2022):

• Developed a two-wheeled robot for maze navigation using PSoC in C, incorporating UART communication and circuit design tools.
• Designed and built a sensor PCB to locate and position the robot on the projected line., Configured hardware subsystems for use with a microcontroller and a software solution to solve path planning requirements.

Traffic sign recognition and operation robot project (September 2022 - November 2022):

• Applied Python-based machine learning algorithms for real-time traffic sign recognition and corresponding robotic responses.
• Collected and organised datasets, building custom models to train the robot for recognising a variety of traffic signs.

Emotional talking face generation project (March 2023 - December 2023):

• Developed a DNN model in Python for synthesising a sequence of face images corresponding to given speech semantics.
• Utilised image and text data to render emotional expressive talking face visualisations.

Python:

• Acquired proficiency in Python, with a focus on machine learning applications, and utilised libraries such as scikit-learn and TensorFlow for university machine learning projects.
• Participated in the Microsoft Student Accelerator data science module, demonstrating a consistent dedication to learning and applying Python for data analysis.
• Completed projects in Handwritten Recognition, Robot Development, and Emotional Talking Face Generation using Python, illustrating the ability to apply programming skills to real-world projects.

Java:

• Gained experience in object-oriented programming by developing a Blackjack game as part of university assignments.
• Developed client and server programs, including a flight booking system website, showcasing practical skills in socket programming.

Other Skills: C, C++, Matlab, LTspice

• AUES (Auckland University Engineering society), 2020-2023
• WEN (Women in engineering), 2020-2023
• WDCC (Web development & consulting club), 2022
• AKSA (Auckland Korean Students' Association), 2021-2023
• Badminton club, 2020