"Building Digital Dams with Zero-Trust Integrity."

I am a veteran software engineer with 10 years of experience in enterprise-grade development. Currently, I am bridging the gap between high-level cloud architecture and cutting-edge AI research.

My current mission is the development of InsightFlow, a verifiable RAG architecture designed for the FinTech and GovTech sectors.

• Core Goal: Eliminating AI hallucinations through strict citation mapping.
• Infrastructure: Native Azure VNet integration and Multi-tenant security.
• Next Milestone: Bridging the gap from prototype to enterprise-grade production by Q2 2026.

• Languages: Python (AI/Backend), TypeScript/Dart (Frontend), SQL.
• Cloud Architecture: Microsoft Azure (Preparing for AZ-305 & AI-102).
• AI Frameworks: LangChain, RAGAS, OpenAI API, Azure AI Search.
• Frontend Mastery: 10 years of experience in building complex, high-performance UIs.

• [Q1] Architectural Validation: Finalizing InsightFlow Phase 1 (Headless API & Citation Engine).
• [Q2] Cloud Sovereignty: Securing Azure Certifications and migrating to private VNet infrastructure.
• [Q3] Academic Integration: Commencing MSc research at NTU to refine AI verifiability.

As a "Kuigang" (魁罡), I believe in precision, effective capacity, and relentless discipline. Whether it's perfecting a Russian Planche or architecting a multi-tenant SaaS, the principle remains the same: Solid Foundation, No Compromise.

• GitHub: [https://github.com/swliu920322]
• Current Location: Malaysia (The "Refining Furnace")

© 2026 Shengwei Liu. Architected for Trust. Engineered for Compliance.