News / Award
Abanteknolohiya 3.0 - Champion
Champions (Student Category) at VSU - contributed on data gathering and AI support. Published May 2026.
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Computer Science (AI & Computer Vision)
Building practical software and computer vision systems-turning complex problems into clean, reliable solutions.
Scroll Down ↓A Computer Science graduate with cross-disciplinary knowledge in Java, Flutter (Dart), C, Python, C#, and C++. Developed through academic systems training and real-world project deployments, with applied experience in data analysis using R and Power BI. Experienced in machine learning and artificial intelligence frameworks such as TensorFlow, PyTorch, and scikit-learn. Operationally proficient in Microsoft Office for technical documentation and structured presentations.
Approaches problems with a chaotic-neutral philosophy, exploring emergent complexity, unconventional pathways, and edge-case thinking. Believes meaningful innovation often appears near system limits. Maintains a cautiously skeptical view of artificial intelligence and its long-term societal impact.
Simple highschool offline class record for desktop application using Java Swing.
View Code →An E-Commerce application for online liquor store created using PayLoadCMS.
View Demo →Image segmentation of Cassava Leaves taken in uncontrolled environment using UNET Model.
View Pipeline →Lead developer of Quick Stock, a mobile sales and inventory application for Sari-Sari Store.
View Code →Back-end developer of SwipeNLearn, a mobile learning application.
View Code →
Champions (Student Category) at VSU - contributed on data gathering and AI support. Published May 2026.
Undergraduate thesis comparing machine learning approaches for segmenting rice bran from black and white backgrounds—supporting quality assessment workflows in agricultural imaging.
Python
PyTorch
Computer Vision
Image Segmentation
Java
C / C++ / C#
Git
HTML / CSS
JavaScript
Full‑stack fundamentals
R / Weka
Microsoft Office
Documentation & workflow