HIEP PHAM THANH
I’m a full-stack AI engineer with 4+ years of experience building and deploying end-to-end machine learning systems, from agentic and generative workflows to production-ready RAG and document intelligence.
About
I’m a full-stack AI engineer with 4+ years of experience building and deploying end-to-end machine learning systems, from agentic and generative workflows to production-ready RAG and document intelligence. I enjoy turning complex business needs into reliable software that teams can use every day, especially in high-impact domains like healthcare claims automation, e-commerce AI operations, and real-estate fintech workflows.
I’ve led full product lifecycles across cloud and edge environments—designing scalable architectures, shipping dashboards and automation pipelines, and setting engineering standards as a technical lead for multi-tenant platforms. I’m comfortable working across AWS/GCP, modern TypeScript/React/Nest/Next stacks, and AI tooling like LangGraph, Hybrid/GraphRAG, and local LLM serving, while continuously optimizing for performance, cost, and operational efficiency.
- 3 years' experience
- Joined September 2026
Industry experience
- Healthcare
- Financial Services
- Real Estate & Construction
- Retail
- Software & Internet
- Manufacturing
- Education
- Computers & Electronics
- Professional Services
- Energy & Utilities
More experts in Ho Chi Minh City, Vietnam
Work experience· 8 roles
Technical lead for an AI-native multi-tenant SaaS platform in the European real-estate domain. Leads a migration from WordPress to a modern Next.js/PostgreSQL accounting-first rebuild without touching live production. Owns system architecture including Auth.js multi-tenant RBAC, Drizzle ORM schema, and Stripe Connect payouts gated by an approval workflow; drives hiring plan, engineering standards, and module-by-module delivery roadmap with CTO stakeholders.
Builds and ships a production AI operations platform for e-commerce brands with human-in-the-loop actions. Architected multi-tenant inventory intelligence to forecast stock runway and compute maximum safe daily ad spend using Shopify, Meta Ads, Google Ads, and 3PL data. Delivers a Next.js dashboard with scenario sandbox and KPIs, Express CRON sync pipelines, Supabase RLS data model, Redis caching, and Slack alerting; leads full-cycle product delivery across backend, frontend, ML forecasting, and integrations for a UK client engagement.
Full-stack AI engineer on an end-to-end health insurance claims automation platform. Owns the pipeline from document intake to AI decision support and the operational web application used daily by claims handlers. Designs and ships production LLM/RAG workflows, document intelligence components, and operational tooling; translates insurance operations requirements into scalable AI product features in collaboration with stakeholders.
Education
Certifications and awards· 5
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