Bachelor of Science in Computer Science, 2025
Recent Computer Science graduate with a strong foundation in machine learning, data, front-end development, and design.
- Machine Learning/Deep Learning: PyTorch, scikit-learn, XLM-RoBERTa
- Data/Backend: SQL, Postman, PostgreSQL, pgAdmin, Docker, Kestra, Terraform
- Frontend: ReactJS, Tailwind
- Programming: Python, Java
- Design: UI/UX principles, wireframing, prototyping (Figma)
- Other: Git, Linux, Jupyter Notebook
Developed a sarcasm detection model for Filipino-English code-switched text using XLM-RoBERTa. Collected and preprocessed dataset, fine-tuned transformer model, achieved strong accuracy on test set.
Tools: Python, HuggingFace Transformers, PyTorch
Description/Title Placeholder
- Lexical & Syntax Analyzer: Implemented in Python, parses and analyses text for lexical and syntactic correctness.
- Adaptive Traffic Simulator: Built using Pygame to simulate traffic with traffic flow optimization algorithm and emergency vehicle prioritizer.
- FamilyVault: Basic Java app for local e-document storage and management.
- Anime Dataset ETL & Analysis: Jupyter notebook pipeline for extracting, transforming, and analyzing anime data with three key insights/visualizations.
Bachelor of Science in Computer Science
PUP, 2025
- Playing and buying games
