Mark Dennis
Manangan
Specializing in |
Building intelligent software, AI-powered workflows, and scalable business solutions.
MDM Neural Engine
AI & Full Stack ArchitectAbout Me
I am an AI Engineer and Full Stack Developer specializing in creating state-of-the-art technological solutions. My work bridges the gap between complex artificial intelligence research and practical, scalable business applications.
With expertise spanning Computer Vision, Workflow Automation, and Full-Stack Architecture, I focus on engineering intelligent systems that optimize processes and drive efficiency.
Work Experience
Junior Web Developer
Leslie Corporation- Engineered an automated document and data processing pipeline that uploads files to Microsoft OneDrive, generates sharing links, and synchronizes metadata with SQL Server.
- Refactored legacy applications and optimized SQL queries, stored procedures, and API endpoints, reducing downtime by 40% and improving performance.
- Developed workflow automation solutions for document processing and data extraction, reducing manual effort significantly.
AI Data & QA Contributor
Anosupo- Executed semantic segmentation and 2D image annotation for automotive computer vision datasets commissioned by Hitachi Astemo for ADAS development.
- Validated AI-generated virtual try-on images for ZOZO NEXT, reviewing clothing fit, alignment, and generation quality.
Software Development Intern
STI West Negros University- Developed a secure online voting system with database integration and administrative dashboards to streamline vote management.
- Performed end-to-end testing, deployment, and system validation to ensure reliable operations.
Featured Projects
AI-Powered Document Processing Workflow
An automated AI-powered workflow that processes PDF documents, extracts structured data, and exports results to Excel and Google Sheets through robust API integrations.
OneDrive Document Upload Engine
A scalable database-driven engine that manages image uploads through a queue-based workflow, synchronizes files to OneDrive, and stores metadata securely in SQL Server.
CNN for Blue Swimming Crab Gender Classification
A deep learning pipeline analyzing custom dataset images to classify crab gender. Trained five distinct CNN architectures using transfer learning methodologies.
Live GitHub Telemetry
Featured Open Source Builds
Technical Skills
Full Stack & Frameworks
Databases & Architecture
AI & Machine Learning
Cloud & Automation
AI Tools & Copilots
Research & Publications
Comparative Analysis of CNN for Blue Swimming Crab Gender Classification
Co-authored an internationally published thesis detailing the application of Convolutional Neural Networks for marine life gender classification, advancing applied computer vision research methodologies.