I am a psychology-trained entrepreneur, digital product operator, and AI systems builder preparing for the SUTD MSc in Design and Artificial Intelligence for Enterprise.
My work focuses on AI-assisted decision support, enterprise AI workflow design, human-in-the-loop systems, knowledge governance, and public-safe AI product prototyping.
This portfolio explores how AI can support complex human decisions by structuring information, preserving uncertainty, creating review workflows, and keeping humans responsible for final judgment.
The projects cover four connected domains:
- Education advisory workflow
- Knowledge management and methodology routing
- Market intelligence and information-to-decision workflow
- Risk review and quality audit workflow
In this portfolio, AI OPC refers to AI-enabled Operational Productivity Consulting: using AI workflows, structured knowledge systems, and human-in-the-loop processes to improve advisory, operational, and decision-support workflows.
AI-assisted education advisory workflow and human-in-the-loop decision-support case.
A public-safe portfolio case for an AI-assisted Chinese Gaokao application planning system. It focuses on intake structuring, preference clarification, risk explanation, advisor review, and responsible AI boundaries.
Portfolio relevance:
- AI-assisted advisory workflow
- Human-in-the-loop review
- Responsible AI in education decision support
- Product and service workflow design
AI-assisted knowledge system, methodology router, and enterprise knowledge workflow case.
A public-safe portfolio case for a personal AI-assisted knowledge and decision-management system. It demonstrates methodology routing, project memory, decision records, execution reports, knowledge governance, and future enterprise knowledge-management relevance.
Portfolio relevance:
- Knowledge architecture
- Methodology routing
- Workflow governance
- Decision traceability
- Enterprise knowledge management
AI-assisted market intelligence and information-to-decision workflow case.
A public-safe portfolio case for monitoring market-relevant public information, structuring noisy signals into review items, preserving uncertainty, and supporting human judgment in fast-moving information environments.
Portfolio relevance:
- Information-to-decision pipeline
- Market intelligence workflow
- AI-assisted structuring
- Uncertainty-aware review
- Human-in-the-loop decision support
AI-assisted candidate review, risk gate, and quality audit workflow case.
A public-safe portfolio case for structuring candidate opportunity review, risk gates, decision notes, post-event quality audit, and knowledge write-back. It is not a trading signal bot, automated trading system, financial advice product, or profitability claim.
Portfolio relevance:
- Risk-aware decision support
- Candidate review workflow
- Human review gates
- Quality audit loop
- Responsible AI boundaries
- Bachelor of Social Sciences in Psychology, University of Macau
- Former COO of a digital asset e-commerce platform
- Independent market researcher and AI-assisted workflow builder
- Founder/co-founder experience across digital assets, psychology education, consumer services, and AI-enabled workflows
- AI-assisted prototyping
- Product architecture
- Workflow design
- Human-AI interaction
- User behavior analysis
- Knowledge management
- Decision-support design
- GitHub-based project documentation
- LLM-assisted research and documentation workflows
This portfolio is design-led rather than model-first. It focuses on human decision journeys, AI-assisted workflow design, responsible AI boundaries, knowledge governance, review and audit loops, and enterprise-style AI deployment thinking.
I hope to use SUTD DAI-E to strengthen my ability to transform early-stage AI workflows into robust, usable, responsible, and enterprise-relevant systems.
These repositories are public-safe portfolio cases. They do not expose private notes, client data, real student data, trading account information, proprietary strategy rules, API keys, tokens, private prompts, or commercial confidential materials.
Some examples are synthetic and used only to demonstrate workflow design.
My long-term goal is to become an enterprise AI workflow designer and AI transformation consultant, building AI systems that improve decision-making, operational efficiency, knowledge workflows, and human-AI collaboration.