Dat Nguyen

AI Engineer with hands-on, project-based experience designing agentic LLM systems: multi-agent orchestration with LangGraph, tool integration via the Model Context Protocol (MCP), and retrieval-augmented generation (RAG) pipelines. Experienced across the full lifecycle — dataset construction, LLM fine-tuning (SFT, LoRA, QLoRA), backend implementation with FastAPI, and systematic evaluation with LLM-as-a-Judge and Langfuse observability. Seeking a Intern/Fresher AI Engineer role to build and ship reliable, production-grade agentic systems.

AI Engineer (Intern) at TMAI SAI SON (2024-06 – 2024-09)

Project: Skincare Analysis & Recommendation System — Team Size: 4

• Technologies/Domain: Python, OpenCV, Gemini 1.5, Flutter
• Built a skin-condition analysis pipeline using the Gemini 1.5 Vision API, classifying skin features from user-uploaded photos to power personalized product recommendations.
• Scraped and structured product data/images from e-commerce platforms (e.g., Hasaki.com) into a feature database of [X] products for the recommendation engine.
• Integrated the vision pipeline with the Flutter front end, shipping real-time skin-condition tracking to end users.

Bachelor of Information Technology in Artificial Intelligence – VAN LANG UNIVERSITY (2021-09 – 2025-08)