I build systems that fix messy business workflows. I help businesses turn manual processes, disconnected tools, and operational problems into working software. I come in, understand how the business runs, design the workflow, build the system, reduce repetitive work, and ship practical solutions that teams can actually use.
My work covers POS platforms, SaaS products, mobile apps, dashboards, reporting systems, internal tools, automation, and applied AI where it genuinely improves the workflow.
I build software around how the business actually works. I'm a senior software engineer from the Philippines with 13 years of experience building web, mobile, SaaS, POS, and internal business systems. My strength is not only writing code, but understanding the operational problem behind the request.
I work best where the workflow is messy, manual, repetitive, or hard to track. I help clarify the process, design the right system, build the product, automate the repetitive parts, and ship something reliable enough for real daily use.
Spreadsheets that should be a system. Tools that don't talk to each other. Repetitive admin work that ties up the team. I take messy operational reality and turn it into software people can actually use day to day.
How I solve business system problems — from understanding the operation through to shipping something the team actually relies on.
I first look at how the business actually works: the people involved, the steps they repeat, the data they track, and where delays or mistakes happen.
I turn the real-world process into a clear software flow so the system supports the business instead of forcing people into a confusing setup.
I design and build the backend, frontend, database, integrations, roles, reports, and user flows needed to support the operation.
I automate repetitive tasks such as reports, calculations, reminders, order handling, status updates, data cleanup, and internal tracking.
I focus on releasing usable software, testing the real workflow, fixing issues, and improving the system based on actual business use.
I use AI as part of the system when it helps reduce repetitive work, speed up decisions, organize information, or support users. AI should not be added just for trend value. It should make the workflow faster, clearer, or easier to manage.
AI tools that help teams find answers from business documents, records, policies, or internal data.
AI-assisted flows for summarization, classification, order handling, reporting, and repetitive admin work.
Chatbots and assistants built into real products, with proper structure, data handling, and fallback workflows.
Using AI tools to move faster in prototyping, debugging, documentation, and analysis while keeping engineering quality under control.
Real systems built for actual operational needs — from founder-led SaaS products to enterprise platforms, internal tools, and practical automation. Each one fixed a specific manual or messy workflow.
A working SaaS platform I built to help Philippine tourism businesses turn scattered guest inquiries into structured listing, booking inquiry, and owner management workflows.
Problem: Small tourism businesses — resorts, villas, private pools, transient homes, homestays, tours, restaurants — rely heavily on Facebook pages, Messenger, and Google Maps. Guests repeatedly ask for photos, rates, availability, location, payment details, and booking instructions. Owners answer the same questions over and over and track inquiries across scattered messages.
Approach: I designed a platform where each business gets a clean listing page with photos, rates, location, contact details, and a direct inquiry flow — so a guest can check the business once, then send a structured inquiry instead of starting a chat thread.
System Built: Guest-facing website for browsing local stays and tourism businesses, search and listing discovery, listing detail pages, owner/admin portal (Filament-based) for listing setup and management, owner registration/login, listing claim flow for businesses added from public sources, direct booking inquiry workflow, availability and inquiry status structure, Android mobile app for owners/admins, AI-assisted natural-language search parser, free listing model with optional paid setup upgrade, plus public pages for pricing, privacy, terms, and owner onboarding.
Workflow Improvement: Turned scattered Facebook/Messenger inquiries into a single structured listing-and-inquiry workflow. Owners stop answering the same five questions; guests can check the listing once and send one clean inquiry; admins manage the whole pipeline from web or mobile.
Business Value: Helps tourism businesses look more professional online, become easier for guests to evaluate, and manage inquiries through a structured system instead of a chat thread.
Problem: Laundry shops often manage job intake, pricing, payments, staff shifts, and reports manually or through disconnected tools.
System Built: A POS and operations system for laundry and dry-cleaning businesses covering job intake, service pricing, payment tracking, shift closing, reporting, and printer support.
Workflow Fixed: Reduced manual tracking of orders, pricing, receipts, and daily sales reports.
Problem: Stock movement was difficult to monitor through spreadsheets and manual checking.
System Built: An inventory system for item tracking, stock movement, supplier records, low-stock alerts, and operational reporting.
Workflow Fixed: Replaced spreadsheet-based monitoring with a structured system for daily inventory control.
Problem: Payroll, attendance, deductions, and employee records were difficult to manage manually.
System Built: A workforce platform that centralizes employee records, attendance tracking, payroll computation, deductions, and reporting.
Workflow Fixed: Reduced manual payroll computation and improved visibility over employee records and salary processing.
Problem: Insurance verification involved repetitive checks, manual status tracking, and external API handling.
System Built: A backend system for eligibility checks, policy verification, status tracking, API integrations, and internal dashboards.
Workflow Fixed: Reduced manual verification work and gave the team a clearer process for tracking verification status.
Problem: Call center billing, performance tracking, and call data audits required heavy manual checking.
System Built: An auditing and analytics system that normalizes VICIdial call data for reporting, billing accuracy, and agent performance tracking.
Workflow Fixed: Improved data reconciliation, reporting accuracy, and operational visibility.
Problem: Teams often repeat the same reporting, reconciliation, and tracking tasks manually.
System Built: A collection of tools for report generation, scheduled processing, data cleanup, reconciliation, and operational tracking.
Workflow Fixed: Reduced repetitive admin work and made reports more consistent.
Problem: Local grocery operators relied on phone orders, paper lists, and ad-hoc dispatch with no visibility into fulfillment.
System Built: A cross-platform ordering and delivery system: customer mobile app, driver app, and operator dashboard for inventory, orders, and dispatch.
Workflow Fixed: Replaced manual order intake and dispatch with a structured ordering, fulfillment, and tracking workflow.
Problem: Printer and scanner integration is often the blocker when moving a paper-based workflow into a digital system.
System Built: Experimental work around printer and scanner integration for web and mobile systems — browser-based approaches, local bridge services, and mobile-native integrations.
Workflow Fixed: Made hardware-dependent operations (receipts, label printing, barcode scan) reachable from modern web and mobile stacks.
Grouped by capability, not by language — because what matters is the kind of business problem each one solves, not the alphabet soup behind it.
If your business is still relying on spreadsheets, Messenger threads, manual tracking, or disconnected tools, I can help turn that process into a working web, mobile, or SaaS system.