Education

Bachelor of Science in Computer Engineering

University

Mapua University, Manila, Philippines

Graduated: 2022

Completed a comprehensive 5-year Computer Engineering program with a specialization in .NET5 Fullstack Technology. The curriculum covered algorithms, data structures, database systems, software engineering, and machine learning.

Senior Thesis Project

“Determination of Driver‘s Alertness Based on Eye State with Edge Computing”

Project Overview

Applied AI-powered embedded system with the concept of edge computing. This research features Face and Motion detection to an ARM64 device as an edge computing agent. The system analyzes real-time camera feed input to detect and conclude the state of a person’s eyes. The practical application focuses on drowsiness detection using eye state analysis.

Technical Implementation

Algorithms Used

• Convolutional Neural Networks (CNN)
• Deep Learning techniques
• Sigmoid Classification
• Real-time image processing

Technologies

• Jetson Nano ARM64 Architecture ref.
• Raspberry Pi Camera Module 2 ref.
• OpenCV2
• Python3
• Microsoft Azure DevOps
• Microsoft Azure IoT (with Telemetry)

Impact & Applications

This project demonstrated practical applications of AI in safety systems, particularly for preventing accidents caused by driver drowsiness. The edge computing approach ensured real-time processing without relying on cloud connectivity, making it suitable for automotive applications.

Curriculum

Key Coursework

Core Computer Engineering

• Data Structures & Algorithms
• Database Systems Design
• Software Engineering Principles
• Computer Architecture
• Operating Systems
• Network Programming

AI & Machine Learning

• Machine Learning Fundamentals
• Artificial Intelligence
• Computer Vision
• Neural Networks
• Pattern Recognition
• Image Processing

Specialization

.NET5 Fullstack Technology Focus

Specialized in Microsoft’s .NET5 ecosystem for full-stack development, gaining comprehensive knowledge in both frontend and backend technologies within the Microsoft technology stack.

Frontend

• ASP.NET Core MVC
• Razor Pages
• JavaScript/TypeScript
• CSS/Bootstrap

Backend

• C# Programming
• ASP.NET Core Web API
• Entity Framework
• SQL Server

Tools & Deployment

• Visual Studio
• Azure DevOps
• IIS Deployment
• Git Version Control

Reflections

Academic Journey

Research & Development Focus

Throughout my studies, I maintained a strong focus on research and practical application of theoretical concepts, culminating in the successful completion of an AI-driven thesis project that bridges computer vision and edge computing.

Hands-on Learning

The program emphasized practical implementation alongside theoretical learning, providing extensive lab work and project-based assignments that prepared me for real-world software development challenges.

Technology Integration

Gained experience integrating various technologies and platforms, from low-level hardware programming to high-level application development, providing a comprehensive understanding of the full technology stack.