All projects

Three-layer Digital Twin prototype for behaviourally-responsive crowd-shipping: FastAPI mock-IoT data layer, mesa agent-based + simpy discrete-event simulation, Streamlit dashboard with interactive disruption injection. Built for Aston PhD application p196342.

End-to-end system that generates literature-grounded crowd-shipper decision rules from traveller profiles, using RAG over a behavioural literature knowledge base + gpt-4o-mini. Direct implementation of the methodology named verbatim in the Aston PhD project description.

Mixed-Integer Linear Programming formulation of the Vehicle Routing Problem with Occasional Drivers (Archetti et al. 2016), solved with scipy.optimize.milp (HiGHS). On a toy 8-customer / 2-truck / 3-shipper instance, crowd-shipping reduces total cost by 38.5%.

Agent-based simulation of crowd-shipper acceptance with a systematic parameter sweep characterising the reward-supply response surface. 450 simulations: 9 reward levels × 5 supply densities × 10 replications. Auto-generated findings cite Punel & Stathopoulos (2017) and Le et al. (2019).

Replaced spreadsheet juggling for the school nutrition programme — one system handles menu planning, delivery routing, and variance reports across multiple kitchens. Each kitchen's data stays cleanly separate, verified by 96 automated checks.

An AI assistant for school kitchens that runs entirely on-site — no internet needed, no data leaves the building. Trained on Indonesia's official food composition database to validate nutrition automatically. Submitted to the Kaggle Gemma 4 Good Hackathon.

Replaced static weekly reports for Bandung's permits department — leadership now queries KPIs in plain language. Permit fees calculate automatically from rules the policy team can update themselves, no developer needed.

Pulls real-estate listings from across the Bandung market into one place, drafts Indonesian-language marketing copy automatically, and surfaces direct-from-owner properties that brokers usually bury under their own stock.

LLM-powered job application platform — evolution of the Nov 2024 CV-JD suitability research into a full product.

Production point-of-sale platform powering live retail operations — multi-branch admin, offline-first cashier app that keeps selling when WiFi drops, separate per-tenant data.

Personal quant finance workbench on MT5 broker data, focused on XAUUSD.

AI-powered language learning platform built on Spaced Repetition, Active Recall, and Comprehensible Input.

Product catalogue analysis platform — rebuilt from one-off scripts into proper software with a clean admin UI.

Internal accounting platform with hierarchical Chart of Accounts and a bank-statement reconciliation engine.

Affiliate-first commerce automation system targeting <2 hours manual intervention per day at scale.

Web tool to author Claude Code agents directly into Google-Drive-synced project folders, with image context.

Customer-facing app for managing customer logos and brand assets, backed by an AI tagging assistant.

Landing site and brand hub for the Aureonforge project cluster, fronting DPMBG, Sibedas, QF, and more on a single server.

Internal admin platform for managing dozens of concurrent infrastructure projects at Bandung's Public Works & Spatial Planning Department — budgets, vendors, milestones, sign-offs, all in one place.

Proposal and ML feasibility analysis for automating dam and irrigation gate control.

Streamlit-based production scheduling system with interactive Gantt visualisation and real-time utilisation dashboards.

Comparative performance analysis of multiple ML models for footwear sales forecasting.