BSCS Fresh Graduate · Open to ML Roles · Philippines or Remote
I build ML models, create applications, and get them running.
- 🎓 BS Computer Science, Mapúa University, 2025
- 🔬 Focus: Machine Learning Applications
- 💼 Seeking: Junior ML Engineer, Philippines or remote
- 📍 Pasay, Metro Manila, PH (UTC+08:00)
- Languages: Python · JavaScript · Java · SQL
- ML & Data Science: Scikit-learn · XGBoost · PyTorch · Hugging Face Transformers · Optuna · spaCy · NLTK · SHAP · Pandas · NumPy
- MLOps & Infrastructure: MLflow · Apache Airflow · Evidently · Docker · Kubernetes · Terraform · GitHub Actions
- Backend & Databases: FastAPI · Flask · PostgreSQL · Pydantic
- Frontend & Deployment: Svelte · Web Workers · IndexedDB · Hugging Face Spaces · Vercel
A system that connects to a user's anime tracking account, studies everything they've seen, and produces a personalized ranked list of what to see next across thousands of titles.
An end-to-end MLOps platform that monitors a credit-card fraud detection model for drift, trains a replacement when drift is detected, and deploys it only after a person approves each step. The whole cloud setup, including an AWS emulator, a Kubernetes cluster, and CI/CD, runs locally in Docker with a single make up.
A sentiment analysis system trained on 2024 U.S. political discourse from YouTube videos. Built with BERT and deployed as a Flask web application on Hugging Face Spaces.
Live Website | Paper | Model | GitHub

