I specialise in developing and implementing AI algorithms for medical image analysis and clinical outcome prediction. With familiarity in frameworks such as PyTorch, OpenCV, TensorFlow and Scikit-learn, I am keen to explore roles as a Data Scientist, AI/ML Engineer, or Computer Vision Engineer, leveraging these tools in areas like computer vision and predictive analytics. Additionally, I am skilled in front-end development, designing intuitive website interfaces that enhance user experiences.
Outside of my professional work, I channel my creativity as a freelance photographer and videographer, blending my passion for science and art to inspire innovation and continuous growth.
Contact
Education
I’ve made an informed decision to pivot my academic journey. After careful consideration, I’ve transitioned to a Bachelor of Biomedical Science, aligning better with my career aspirations while staying true to my passion for medicine. Now, graduating with a Master of Bioinformatics, centered in healthcare data science, I further deepen my expertise at the intersection of medicine and AI.
Graduated with Distinction (CGPA: 4.0/4.0)
SPM Result : 10As (8A+ 2A)
Work Experience
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Developed an AI-driven healthcare model for myocardial infarction detection using AP4-echocardiogram videos.
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Implemented U-Net semantic segmentation and LSTM architectures for accurate feature extraction and classification.
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Explored and utilized deep learning libraries, including PyTorch, OpenCV, TensorFlow, and Scikit-learn, for model development and optimization.
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Conducted research on the genetic polymorphism of PkDBPαII in Malaysian Plasmodium knowlesi isolates.
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Analyzed genetic variations to assess strain diversity and stability.
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Developed expertise in molecular techniques, including PCR, DNA sequencing, and phylogenetic analysis.
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Specialized in product photography and videography, creating visually compelling content.
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Developed strong client relationships to enhance brand storytelling.
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Collaborated with local brands, including Sugarbelle and Softlove.
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Gained proficiency in specimen processing, culture, microscopic examination, molecular testing, and data documentation.
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Rotated through five laboratory disciplines: Virology, Clinical Bacteriology, Mycology, Tuberculosis, and Molecular Imaging.
Projects
AI, ML/DL, Predictive Modeling, Computer Vision, PyTorch, OpenCV, Scikit-learn, Pandas, Numpy
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Implemented a deep learning framework combining U-Net for ventricular segmentation and LSTM for myocardial infarction classification.
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Processed AP4-echocardiogram videos with frame-by-frame analysis for precise feature extraction.
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Achieved 71.5% accuracy and AUC of 0.715, validated through 5-fold cross-validation.
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Optimized model performance by fine-tuning hyperparameters and leveraging advanced deep learning techniques.
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Applied AI-driven medical image analysis to enhance diagnostic accuracy in cardiac assessments.
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Established a scalable approach for future research in AI-based echocardiogram analysis by introducing this novel approach.
HTML, CSS, JavaScript, UI/UX, Web Development, Front-end Development
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Designed and implemented the website interface for “Sequence Space”, an unofficial gene analysis platform.
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Wrote codes fully using HTML, CSS and Javascript while deploying them at local server.
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Enhanced user experience by enabling easy analysis of palindromic sequences and DNA-to-RNA conversion.
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Prioritized intuitive design and functionality to streamline genetic data analysis.
Information System, Waterfall SDLC methodology, LucidChart, Figma, UI UX
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Designed a precision agriculture system for weed management in Malaysian paddy fields, targeting users like farmers or agriculture companies.
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Applied the Waterfall SDLC methodology, covering requirement gathering, system design, and interface prototyping.
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Developed Figma mockups and system diagrams (context diagram, level diagrams, DFD, use case, etc.) in Lucidchart to visualize workflows and usability.
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Emphasized sustainable agricultural practices through efficient system design and documentation.
PCR, DNA Sequencing, Cell Culture, Erythrocyte Binding Assay (EBA), Phylogenetics
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Conducted genetic analysis of Plasmodium knowlesi isolates from 2019–2021 to study polymorphisms in PkDBPαII.
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Examined samples from Peninsular Malaysia and Malaysia Borneo, with varying parasitemia levels to assess genetic diversity.
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Conducted PCR, gene sequencing, COS-7 cell line maintenance, and erythrocyte binding assays (EBA) for molecular and cellular analysis.
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Performed phylogenetic analysis, revealing no novel clustering, indicating genetic stability for recent years.
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Contributed to understanding the evolutionary dynamics of P. knowlesi in Malaysia.
Side Projects
I undertook the task of producing two 30-second lifestyle videos that would effectively convey the brand's commitment to enhancing everyday comfort.
It's a privilege to join hands with them, a collaboration that blossomed after they recognized the quality of my previous photography endeavours.
My work spanned indoor and outdoor settings. My role blended artistry and commerce, employing photography and videography to convey Sugarbelle's cosmetics essence and versatility.
Certifications
Deep Learning, Artificial Intelligence (AI), TensorFlow
SQL
Artificial intelligence (AI), Generative AI
Python
SQL
R
Volunteering
Handling speaker logistics: Coordinating keynote presentations, assisting international speakers, and ensuring a smooth event.
As a concertmaster, my responsibilities extended far beyond personal musical prowess; they include the vital tasks of guiding beginners in acquiring foundational instrumental skills, fostering harmonious cooperation among all members and other school orchestras.
Awards
Chinese Orchestra:
21st Century International Arts Festival
1 Honourary Gold Award, 3 Gold Awards, 1 Silver Award
Chinese Orchestra:
'Chun Lei' Orchestra Competition