Manuel Olalo Jr.

Software Developer @ SSCGI

usage: miggy [--automate-everything] [--ml] [--leetcode] <problem>

About

I'm Manuel Olalo Jr. (Miggy), a CS graduate from Mapúa University, passionate about software development, automating everything, problem solving, and sometimes leetcoding ;)

education
B.S. Computer Science, Mapúa University specialized in Artificial Intelligence · 2026
terminal
$ curl this-site # this page, rendered for your terminal

Experience

Software Developer @ SSCGI

→ present

details

Develop and maintain enterprise anti-money-laundering applications, from new features and defect fixes to business-intelligence integrations and internal automation tools.

  • Maintain and enhance enterprise anti-money-laundering applications by implementing new features, resolving defects, and improving existing functionality.
  • Implemented an integration between an enterprise application and a business-intelligence platform to support embedded analytics and reporting.
  • Created internal automation utilities that streamline documentation, system configuration, testing, and administrative workflows.

Procurement Operations Intern @ Accenture

→

details

Supported enterprise procurement operations by validating financial data and developing automation scripts to reduce manual workload and improve processing accuracy.

  • Reconciled SAP & Ariba invoice data
  • Automated Excel workflows using Python
  • Developed Selenium browser automation
  • Increased operational efficiency through scripting

Global Engineering Intern @ Universal Robina Corporation

→

details

Developed enterprise applications and automation solutions to streamline engineering project tracking and payment management processes using Microsoft Power Platform and data-driven dashboards.

  • Built Project & Payment Management Apps
  • Designed Power BI operational dashboards
  • Automated workflows with Power Automate
  • Improved internal process efficiency

Freelance Software Developer @ Self-Employed

→

details

Provided technical guidance and development support to university students on academic software projects, primarily using Java, C++, and Python.

  • Provided debugging support and code reviews
  • Collaborated with peers to meet project requirements
  • Explained core programming concepts and best practices

Projects

balaoing-apartments/

A tenant management system for Balaoing Apartments with separate admin and tenant portals, built with ASP.NET Core, React, and SQL Server.

details

Developed a property management system where staff can run billing, verify rent payments, handle maintenance requests, and post announcements for tenants. Tenants get their own portal to view their unit and lease, pay monthly rent and extra charges by uploading proof of payment, submit service requests, and keep up with announcements. Implemented role-based access for Super Admin, Maintenance, and Finance staff, along with reports on occupancy and collections.

Balaoing Apartments admin portal login Balaoing Apartments admin bills and payments page Balaoing Apartments tenant home page

C# · ASP.NET Core · EF Core · SQL Server · React · TypeScript · Tailwind CSS

pekoloan/

A multi-tenant loan management system with configurable approval workflows, built with ASP.NET Core, React, and SQL Server.

details

Developed PekoLoan, a loan management platform where each organization manages its own users, loan products, and lending budget. Applicants apply for loans and pay their installments, while administrators route each application through serial or parallel review workflows before releasing it with an automatically generated amortized payment schedule. Covered the API with xUnit and Moq tests and a Postman end-to-end collection.

PekoLoan sign-in page PekoLoan administrator dashboard PekoLoan loan application form

C# · ASP.NET Core · EF Core · SQL Server · React · TypeScript · xUnit · Moq

terrasoi/

A mobile application connecting farmers, restaurants, and fertilizer suppliers, built with Flutter and Dart.

details

Developed Terrasoi, a mobile app designed to connect farmers with restaurants and fertilizer suppliers. The app features chat functionality, access to educational articles, and performance tracking for farmers. Focused on building a responsive, intuitive interface to ensure smooth communication and information sharing.

Terrasoi mobile interface, screen 1 Terrasoi mobile interface, screen 2 Terrasoi mobile interface, screen 3 Terrasoi mobile interface, screen 4

Flutter · Dart

project-and-payment-management/

Two Microsoft PowerApps applications for tracking projects, shipments, design reviews, and managing payments with full CRUD functionality.

details

Developed two separate applications using Microsoft Power Platform: a Project Management App for tracking projects, shipments, and design reviews, and a Payment Management App for managing payments. Designed and deployed Power BI dashboards to visualize project progress and key metrics. Automated approvals, notifications, and data synchronization using Power Automate to enhance system usability and data accuracy.

note

Images shown are mock images, used during the prototyping of both apps, the actual app can't be shown cuz of NDA sorry :p

Project Management App (mock design) Payment Status App (mock design)

PowerApps · Power BI · SharePoint · Power Automate

excel-file-simplifier/

A CLI-based Python tool using Selenium to consolidate and automate Excel file processing across test and production environments.

details

Developed a command-line Python tool to simplify and consolidate Excel files while automating repetitive tasks using Selenium. The tool handles data processing across both test and production environments, ensuring accurate and efficient data management. Focused on streamlining workflows and reducing manual intervention.

Excel File Simplifier CLI

Python · Selenium

byor/ build your own rig

A full-stack web application for building custom PCs, developed using PHP, JavaScript, HTML, CSS, and MySQL.

details

Developed BYOR, a web platform that allows users to configure and build custom PCs from scratch. Implemented the backend logic, database architecture, and user interface. Integrated Gemini AI to provide intelligent build suggestions and enhance user experience.

BYOR homepage BYOR AI interface

PHP · JavaScript · HTML · CSS · MySQL · Gemini

cc-shooter/

A 2D shooter game developed using Godot Engine with GDScript.

details

Developed CC Shooter, a 2D action game where players navigate levels, defeat enemies, and achieve objectives. Managed core gameplay mechanics, enemy AI behavior, and UI integration. Designed and edited visual assets and sound effects using Photoshop and other tools to enhance the player experience.

play

miggycraft.itch.io/cc-shooter

CC Shooter gameplay, screen 1 CC Shooter gameplay, screen 2 CC Shooter gameplay, screen 3 CC Shooter gameplay, screen 4

Godot Engine · GDScript · Photoshop

Research

Fish Disease Classification using Transfer Learning with ResNet50

[manuscript] 2026

Manuel Olalo Jr., Andrew Canlas, Jodd Villegas · Mapúa University

Developed an image-based classification system for detecting common Tilapia diseases using a ResNet50 transfer learning approach, achieving improved accuracy through image preprocessing, data augmentation, and comparative model evaluation against a baseline CNN.

Computer Vision · Deep Learning · Transfer Learning · ResNet50 · Aquaculture

A Study on the Proposed Prototype of WikaSaya using Design Thinking Approach

[published] 2025

Manuel Olalo Jr., Daphnie Abano, John Lam, Kacey Vidal · Mapúa University

Presented WikaSaya, a gamified mobile learning app for children aged 2–8, designed to enhance Filipino language literacy and cultural awareness. Using the Design Thinking Approach and feedback from parents and teachers via the Six Thinking Hats method, the study highlights the app's potential while addressing UX and screen-time considerations.

Educational Technology · Gamification · Mobile Learning · Design Thinking · Filipino Language · Early Childhood Education

Analysis of Global Video Game Sales

[manuscript] 2024

Manuel Olalo Jr., Raymond Cruz, Dylan Magana, Paul Tuason · Mapúa University

Analyzed global video game sales using a 16,000+ row Kaggle dataset to uncover sales patterns across regions and key factors influencing success. The study provides actionable insights for publishers on market strategies, game development, and product release planning.

Data Analysis · Video Games · Market Research · Business Intelligence · Gaming Industry · Kaggle Dataset

AI-Driven Analysis of Poverty Indicators

[manuscript] 2024

Manuel Olalo Jr., Paul Tuason, Andrew Canlas, Arjun Bali · Mapúa University

Applied AI and machine learning models, including Random Forest, Logistic Regression, and deep learning, to analyze socioeconomic indicators from the APIS dataset and predict poverty status among Filipino households. Findings highlight critical factors and demonstrate AI's potential to inform targeted policy.

Artificial Intelligence · Machine Learning · Socioeconomic Analysis · Poverty Prediction · Data-Driven Policy · Random Forest · Deep Learning

Skills

languages
Python, JavaScript, C#, PHP, Java, C++, Dart, SQL, HTML
frameworks
ASP.NET, Angular, Flutter, Laravel, React
ai / ml
TensorFlow, PyTorch, Scikit-learn, OpenAI API, Hugging Face, LLMs, Ollama
automation
Selenium, OpenPyXL, Power Automate
tools
Git, Docker, Visual Studio, VS Code, Jupyter, Figma, Power BI, Power Apps
databases
Microsoft SQL Server, MySQL

Contact

Available for opportunities and collaborations.

github(1)
github.com/Miggycraft
linkedin(1)
in/manuel-jr-olalo
mail(1)
public.miggy9@gmail.com