Independent engineering · John Amos Tan
Open to international opportunitiesI’m John Amos Tan. I build AI products, data platforms, and business systems—with ownership from the first working model to the details that make it useful.
Different domains. One engineering mindset.
01 Applied AI & integration02 Data & trading systems03 End-to-end product deliverySelected work / Engineering portfolio
Five selected projects.
AI integration, market data, financial workflows, and everyday products.
AI assistance with real permission boundaries.
A staging ERPNext implementation alongside an internal AI assistant connected through a typed, authenticated bridge. Human confirmation and user permissions govern writes.
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From exchange data to a research workspace.
A Bybit market archive covering collection, validation, storage, historical charts, and research tools. Built around completed candles and verifiable synchronization.
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Shared capital. Clearer settlements.
A multi-party venture ledger for tracking contributions, expenses, income, and partner settlements. The interface keeps funding, reimbursement, deposits, and payouts distinct.
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Financial goals, brought to life.
A personal-finance app connecting savings goals, funding history, assets, and liabilities. A garden interface makes progress visible, with net-worth history and assumption-based planning.
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A home for the coffee you discover.
A coffee journal with guest drafts, shot comparisons, and opt-in sharing. Built with careful boundaries between a personal journal and public discovery.
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How I work
AI accelerates my workflow. Engineering judgment determines what ships.
Business rules, data boundaries, and the person using the product shape the implementation. In the ERP project, that means making approvals and handoffs explicit.
Keep responsibilities clear. Separate an AI assistant from system credentials. Separate completed market data from an open candle. Make important assumptions visible.
I use AI agents with guardrails and review their output against requirements. Tests, data validation, and deployment checks help turn generated work into a system I can explain.
Beyond the studio
From embedded control to quantitative platforms and AI products, I’ve worked where software meets real operating constraints.
Read my résuméCo-building an AI-assisted software-delivery platform on a two-person team, with end-to-end engineering ownership. Built Timeline, initial Mission Control versions, redispatch, and GitHub connections.
Co-building a workforce-management platform used by approximately 10 businesses. Delivered labor management, training and development, shift swaps, and ChatGPT plugins.
Building trading execution and digital-asset risk systems, including a Bybit grid engine, live market-data integration, and Linux deployment with monitoring.
Built Python analytics, backtesting and risk dashboards, REST APIs, and forecasting-to-signal pipelines for the trading team.
Developed C firmware for power supplies and battery backup systems, with Python test automation and hardware-in-the-loop tools.
AI StackWorks, CrewCentral, and QuantM Alpha are concurrent roles under the same employer. PRAI Systems is my independent studio.
The person behind PRAI
My background connects electronics, software, and product building. I studied Electronics and Communications Engineering at De La Salle University and completed a postgraduate diploma in Power Electronics at Mapúa University.
PRAI Systems is where I bring those interests together: independent projects that give me room to own the whole system, explore an idea, and work through the details myself.
Let’s build something useful
Exploring software engineering, applied AI, and product engineering opportunities with teams around the world.
Based in Quezon City, Philippines · UTC+8