// Overview
Quick snapshot of who I am
Trinh The Minh
I am
Building AI Products
From Concept to Production
Product-focused Full-Stack AI Engineer with proven expertise in the end-to-end lifecycle of AI applications. I build production-grade RAG, Knowledge Graph RAG (KG-RAG), and Multi-Agent systems.
class AIEngineer:
def build(self):
return "production_ready"
def deploy(self):
return "scalable_systems"
$ git log --oneline -5
a1b2c3d feat: deploy KG-RAG system
e4f5g6h fix: optimize vector search
i7j8k9l feat: add multi-agent pipeline
m0n1o2p perf: redis caching layer
q3r4s5t feat: auto review pipeline
// Projects
Production systems that drive real business impact
Architected and launched a Knowledge Graph RAG using Neo4j and Vertex AI to power a 'Parent Copilot', driving a 30% DAU/MAU ratio through high-relevance AI interactions.
Deployed a self-hosted RAG system serving 50+ child companies, replacing Google's Vertex AI Agent Builder to eliminate unit limits and reduce operational costs by 40%.
Engineered the 'Auto Review' pipeline for Pixta Stock, processing 10,000+ daily images with 99% precision and 70% recall by fine-tuning CLIP and BLIP-v2 models.
Legal Documents Retrieval
SOICT Hackathon 2024 • Oct - Dec 2024
Developed a domain-specific retrieval engine using a hybrid Bi-Encoder and Cross-Encoder architecture, achieving MRR@10 of 0.7352.
// Technical Skills
Technologies I work with daily
Hover over a skill to explore…