Portfolio
Client work, my own products, and earlier research. Client names are kept confidential; some images are UI illustrations with sample data.
Showing 44 projects
An all-in-one WhatsApp platform for a savings cooperative and its partner travel program: an AI agent on the official WhatsApp Cloud API, an admin CRM with a 3-column inbox and 360° member profiles, Xendit payments posted to a double-entry ledger, PPOB bill payments, and a tiered referral engine.
A personal finance system where expenses are logged by chatting with a WhatsApp bot ("coffee 15k, fuel 30k e-wallet") and reviewed in a Flutter Android app with offline sync, fingerprint lock, savings goals, receivables, and an AI assistant that answers questions from the database.
A local 3D office that visualises Claude Code subagents working in real time. Each agent gets a desk, walks to the manager to report, takes breaks in the pantry or gym, and shows what it is reading, writing, or running, all by reading session logs read-only.
A cloud-connected enterprise Video Management System for industrial health & safety compliance. It extends an on-premise YOLOv8 PPE-detection desktop app with a full B2B SaaS layer: a Next.js dashboard, hardware-locked licensing, live multi-camera WebRTC streaming, and automated incident management. Built for a petroleum services company to monitor PPE compliance across multiple sites.
A multi-module automation ecosystem built for a growing franchise business. The suite combines a web-based Point-of-Sale system for up to 500 outlets, a real-time warehouse management dashboard, an admin profit-and-loss reporting panel, and two AI-powered WhatsApp chatbots for automated business intelligence and operational coordination.
A full bidirectional integration between Odoo 17 (ERP) and the Shopee Open Platform for a fashion retail business. The system automates product and stock synchronization, order ingestion, and variant management so the merchant never manages two systems manually. Built entirely on n8n workflows deployed alongside Odoo via Docker.
Backend work for a B2B SaaS startup: migrated a large set of n8n workflows into a typed Node.js service with a job queue, an LLM agent with tool calling, retrieval-augmented answers, and a WhatsApp gateway. Product details are withheld under NDA.
A cloud-based web application built for a scaffolding equipment rental company to replace an entirely manual, Excel-based workflow. The system automates stock tracking across a central warehouse and multiple active construction projects, calculates monthly and prorated daily invoices, and enforces a two-role approval workflow before any stock movement takes effect.
A full-stack sales automation solution combining a WhatsApp AI chatbot (built on n8n) with a freshly implemented Odoo ERP backend for a medical equipment and supplies distributor. The AI agent handles customer identification, product catalog browsing, order creation, proforma invoice dispatch, and admin escalation — turning WhatsApp into a low-effort sales channel backed by a real ERP.
A multi-channel AI customer service automation for a window blinds retailer. It handles inbound WhatsApp inquiries through an n8n workflow powered by a Claude-based AI agent, and covers the TikTok Shop Message Center with keyword replies, AI chat prompts, and suggested questions. The system qualifies leads, calculates price estimates, generates PDF quotations and DP invoices, and escalates to human agents when needed.
An intelligent sales automation system built on n8n for a vehicle paint-protection film (PPF) and vinyl-wrap installer. The system extends an existing Instagram DM AI chatbot with a context-aware follow-up engine, automated lead classification (HOT / WARM / COLD), a Google Sheets CRM that captures customer data and financials, and automatic invoice dispatch — all without manual intervention from the sales team.
A Streamlit-based AI dashboard built for a fuel distribution terminal, covering demand forecasting for 135 retail stations over a 1–10 year horizon and a multi-agent AI architecture prototype. The system uses XGBoost and Prophet models with population and vehicle-growth factors, displays an interactive map, and includes a conversational LangChain AI assistant for supply chain queries.
Includes earlier research and academic projects.