AI Engineering
Multi-tenant RAG, pgvector + HNSW search, multi-provider LLM orchestration (OpenAI, Anthropic, Google, XAI), MCP tool-calling agents, and streaming UX.
Hello, I am Minh.
I architect enterprise SaaS and Gen AI platforms — multi-tenant RAG, vector search, real-time streaming, and MCP integrations across OpenAI, Anthropic, and Google. Seven years of shipping production systems for global clients.
Multi-tenant RAG, pgvector + HNSW search, multi-provider LLM orchestration (OpenAI, Anthropic, Google, XAI), MCP tool-calling agents, and streaming UX.
TypeScript, React, Next.js, NestJS. Performance-first architectures with code splitting, lazy loading, caching, and GraphQL via AWS AppSync.
Azure (Entra ID, Key Vault, Blob, AKS) and AWS (Lambda, DynamoDB, S3, AppSync). Terraform IaC, Karpenter NAP, spot + on-demand strategies.
Tablet-first scheduling and real-time apps with offline support, IAP, and drag-and-drop UX. Published to Google Play and the App Store.
Enterprise AI Assistant Platform
Neurond AI · TypeScript · Next.js 16 · React 19 · PostgreSQL/pgvector · Azure · Vercel AI SDK
2025 — Present
SaaS Theme
Snaptec Vietnam · JavaScript · Next.js · Redux · AWS S3
2019 — 2025
MID Dashboard
Snaptec Vietnam · JavaScript · Next.js · Redux · AWS (S3, AppSync)
2019 — 2025
Seven years building enterprise SaaS and Gen AI platforms for global clients. I architect multi-tenant systems on Azure and AWS, ship production-grade RAG, and lead AI-Native engineering workflows.
“Minh consistently delivers production-grade systems with rare attention to architecture and performance.”
“A rigorous AI engineer — multi-tenant RAG, MCP, and observability handled end-to-end.”