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pickhottea/README.md

Hi, I'm Pi-Hsin Tsai 👋

Data & AI Governance | Data Risk | Compliance | Patent-to-Governance Thinking

I work at the intersection of regulation, structured documentation, risk analysis, and governance-oriented data systems.

My background in patent engineering trained me to structure complex technical and legal information, identify hidden risks, coordinate cross-functional processes, and create traceable decision foundations.

🔁 Patent → Data Governance Mapping

Patent engineering is often misunderstood as purely legal or administrative work.
In practice, my experience involved structured monitoring, Freedom-to-Operate analysis, third-party rights monitoring, documentation of development activities, portfolio maintenance, external coordination, and decision support in a regulated technical environment.

I translate this experience into governance-relevant capabilities such as:

  • Data lifecycle & ownership
  • Data quality, metadata & monitoring logic
  • Process governance & controlled workflows
  • Risk identification & regulatory compliance
  • Traceability, auditability & evidence preservation
  • Third-party governance & cross-functional coordination

➡️ Full mapping: https://github.com/pickhottea/patent-governance-mapping

🧾 What Patent Engineering Involved

To make my previous work more transparent for non-IP audiences, I also provide a short explanation of what patent engineering involved in practice: monitoring, risk assessment, documentation, external counsel coordination, examination procedures, and portfolio governance.

➡️ Patent engineering explained: https://github.com/pickhottea/patent-engineering-explained

Selected Governance Projects

🧠 EU AI Act Medical AI Governance

Operationalizing high-risk AI governance through risk classification, human oversight, evidence checks, documentation, and auditability.

📊 Data Reliability Framework

Data quality, ownership, escalation paths, lineage, monitoring logic, and ISO 27001-style control evidence.

🔎 Governed Patent Analytics & Retrieval Platform

Connecting patent-domain expertise with governed data architecture, retrieval logic, traceability, and decision-ready analytics.

Core Themes

  • Data & AI Governance
  • GDPR / Privacy by Design
  • EU AI Act / Human Oversight
  • Risk, Compliance & Auditability
  • Data Lifecycle, Metadata & Lineage
  • Traceable Decision Support
  • Third-Party Governance
  • Structured Documentation

📍 Munich, Germany
LinkedIn: http://www.linkedin.com/in/pi-hsin-tsai
GitHub: https://github.com/pickhottea

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