Open to: Architecture · AI · Systems • Philippines

Mark Laurence Ong

Enterprise Architect · Technical Founder · AI Researcher · Senior Software Engineer

Enterprise Architect and Technical Founder with 10+ years building enterprise platforms, AI-powered applications, automation frameworks, proprietary developer tooling, and end-to-end cloud infrastructure. Built a standalone Python operating environment with 300+ documented features. Founded and led a logistics technology company (scaled to a 35-person team); architected and operated the company's proprietary ERP platform end to end, dispatch, CRM, inventory and analytics, as sole architect through a period of sustained growth. Research focus: applied AI and enterprise AI, multi-agent systems, operating systems, knowledge representation, and distributed computing.

Career Timeline

2025–Present · Founder | Enterprise Architect | AI Researcher
Building proprietary technologies (AI OS, SDK, Android runtime, voice & automation).
  • AI Operating System / operating environment architecture
  • Enterprise SDK and reusable module standards
  • Android embedded Python runtime design
  • End-to-end infrastructure deployment (Linux, containers, CI/CD, edge)
2022–2024 · Independent R&D & Systems Architecture
Independent R&D and systems architecture, concurrent with the founder role through 2023, across AI, OS, and distributed systems.
  • Enterprise architecture, systems design, platform R&D
  • Distributed computing patterns and modularization strategy
2020–2023 · Former Founder & CEO, Nameless Logistics
Built the ERP platform and led a 35-person team across product, engineering, marketing, and operations.
  • Architected & implemented proprietary ERP (dispatch, CRM, inventory, reporting, dashboards)
  • System ran in daily production: dispatch, CRM, inventory and executive reporting
  • Handled technology strategy, product direction, and marketing execution
  • Scaled and managed a 35-person team across engineering, operations, and marketing
2019 · Machine Learning Community
Collaborative machine-learning study and community work (100 Days of ML).
  • Collaborative machine-learning community participation
2013–2016 · R&D Consultant
Feasibility studies, technical analysis, and strategy across industries.
  • Collaborated with executives, researchers, and stakeholders
  • Produced technical reports, recommendations, and business strategies
2011–2017 · Independent AI & Software Research
Independent research in intelligent systems, pattern recognition, and software architecture.
  • Experimental music-learning algorithms and pattern recognition
  • Intelligent systems and automation research
  • Early software architecture research

Selected Projects