Architecture & Engineering
Technical
Specifications
An overview of technical skills and tools built through academic projects, a capstone system, and internship experience in backend development.
01 - Skill Taxonomy
Backend Engineering
Systems Built: 5+
Core Features: RBAC, Conflict Resolution, Event-Driven Notify
Machine Learning & Data
Top Regression R²: 0.9765
Feature Engineering: 89 Temporal Signals (Lags, Rolling Means)
Tools & Infrastructure
Ingestion Protocol: MQTT Real-Time Streaming
Compute Env: CUDA GPU Accelerated Training
Analytics & Visualization
Dashboard Capabilities: Real-Time Model Monitoring & Analytical UIs
State Management: Optimized Rendering for High-Frequency Data Streams
02 - Certifications
Learning Credentials
Professional certifications and completion modules. Each credential independently validated through issuing platforms.
03 / Experience Timeline
2025 — 2026
Intern Software Engineer
Automobile Association of the Philippines
Built a meeting room and company-wide event scheduling system with role-based access control, handling booking conflicts and automated notifications.
2022 — 2026
BS Information Technology
Quezon City University
Led backend development, database design, and hardware integration across multiple academic projects including a capstone IoT digital twin system.
The Architectural Mandate
“ Clean & Efficient.”