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Hi, I’m Gwendelyn Wong Rhien-Yhung, a Biomedical Engineering graduate specializing in AI. I enjoy translating clinical challenges into data-driven solutions, particularly in medical imaging and healthcare analytics. I love building robust data pipelines, training and evaluating models, and collaborating across disciplines to transform research into practical tools for patients and clinicians. When I’m not coding, I enjoy exploring new AI methods and sharing knowledge with teammates.…Hi, I’m Gwendelyn Wong Rhien-Yhung, a Biomedical Engineering graduate specializing in AI. I enjoy translating clinical challenges into data-driven solutions, particularly in medical imaging and healthcare analytics. I love building robust data pipelines, training and evaluating models, and collaborating across disciplines to transform research into practical tools for patients and clinicians. When I’m not coding, I enjoy exploring new AI methods and sharing knowledge with teammates.

Gwendelyn Wong Rhien-Yhung

Data Scientist, AI Engineer, Web Developer, +2

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Hi, I’m Gwendelyn Wong Rhien-Yhung, a Biomedical Engineering graduate specializing in AI. I enjoy translating clinical challenges into data-driven solutions, particularly in medical imaging and healthcare analytics. I love building robust data pipelines, training and evaluating models, and collaborating across disciplines to transform research into practical tools for patients and clinicians. When I’m not coding, I enjoy exploring new AI methods and sharing knowledge with teammates.…Hi, I’m Gwendelyn Wong Rhien-Yhung, a Biomedical Engineering graduate specializing in AI. I enjoy translating clinical challenges into data-driven solutions, particularly in medical imaging and healthcare analytics. I love building robust data pipelines, training and evaluating models, and collaborating across disciplines to transform research into practical tools for patients and clinicians. When I’m not coding, I enjoy exploring new AI methods and sharing knowledge with teammates.

Available to hire

Hi, I’m Gwendelyn Wong Rhien-Yhung, a Biomedical Engineering graduate specializing in AI. I enjoy translating clinical challenges into data-driven solutions, particularly in medical imaging and healthcare analytics.

I love building robust data pipelines, training and evaluating models, and collaborating across disciplines to transform research into practical tools for patients and clinicians. When I’m not coding, I enjoy exploring new AI methods and sharing knowledge with teammates.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Korean

Fluent

Malay

Advanced

Work Experience

Machine Learning Engineer Intern at SpaceVision AI

December 1, 2025 - December 1, 2025

Built an automated multi-camera person re-identification (Re-ID) dataset pipeline to obtain approximately 200 person IDs across 25 hours of video footage with features such as tracking, ROI-based filtering, and Gemini API-powered verification. Evaluated computer vision models (ResNet-50, EfficientNet, ViT) on manually collected person Re-ID datasets, and visualized feature embeddings in TensorBoard to assess dataset quality. Developed a Python-based decryption script to securely process 2 months of video footage from Google Cloud Platform (GCP) for Re-ID dataset generation and subsequent model training. Proficient with PyTorch for model development and Git for collaborative workflow management.

Artificial Intelligence Engineer Intern at KeyASIC

February 1, 2025 - February 1, 2025

Analyzed cell type features (shape, diameter, nucleus-to-cytoplasm ratio, etc.) and defects of various blood cells for leukemia detection. Developed and visualized an algorithm for identifying abnormal blood cell types based on cell-type features. Deployed DeepLabV3+ for leukocyte nucleus segmentation, achieving a mean Dice coefficient of 0.9654 and mean IoU of 0.9386.

Undergraduate Student Researcher at Medical Artificial Intelligence Lab (MAILAB), Korea University

December 1, 2024 - December 1, 2024

Researched on projects regarding various biological data analysis using DL techniques under the supervision of Asst. Prof. Tae-Eui Kam.

Member, Biosensors and Chips Team at Biomedical Engineering Academic Team (BEAT), Korea University

December 1, 2023 - December 1, 2023

Researched and presented findings on wearable sensor technologies; designed and modeled basic medical device architectures using AutoCAD, drawing from research findings.

Undergraduate Student Researcher at Medical Artificial Intelligence Lab (MAILAB), KU

December 1, 2024 - December 1, 2024

Researched projects on biological data analysis using deep learning techniques under the supervision of Asst. Prof. Tae-Eui Kam.

Member, Biosensors and Chips Team at Biomedical Engineering Academic Team (BEAT), KU

December 1, 2023 - December 1, 2023

Researched wearable sensor technologies; presented findings and designed/modelled basic medical device architectures using AutoCAD, informed by current research.