Nguyen Van Quang

AI Engineer

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The Process

I am an AI Engineer.
I build practical AI systems across data pipelines, LLM applications, agentic RAG, and deployment-focused engineering.

Python, TypeScript, SQL

Regression/Boosting, Neural Networks, Transformer, LLMs, AI Agents, Fine-tuning

PostgreSQL, Vector databases

ETL, Orchestration, Feature Engineering, Data Preprocessing

Git, Docker, Linux, AWS, Coding Agents

Vietnamese (native), English (B2)

VinSmart Future | Hanoi, Vietnam

Participating in the process of building a high-quality data pipeline for the AI system in the tourism domain.

8SENECA | Hanoi, Vietnam

Python, FastAPI, Langchain/LangGraph, OpenAI, Hugging Face, Docker, Postgres, Neo4j

Developed a robust AI-powered system for automating the process of creating and managing software requirements (SDLC) on Sparx Enterprise Architecture platform.
Implemented a custom LLM inference pipeline based on client requirements.
Fine-tuned a BERT model for classification and an embedding model for domain text vectorization.
Participated in the deployment process.

AI-native Pet E-commerce Platform

Next.js, FastAPI, PostgreSQL + pgvector, LangGraph, OpenAI API, Docker, AWS EC2/RDS

Built a full-stack Vietnamese pet e-commerce platform with product discovery, checkout, payment, order management, customer support, forum, and role-based admin workflows.
Designed and implemented Catbot, an agentic RAG assistant with planner-enforced tool calling, hybrid retrieval, pet-care knowledge grounding, pet-profile personalization, deterministic product-safety checks, streamed responses, verified product-card rendering, and human handoff.
Created an AI evaluation pipeline with 50 LangSmith-traced cases using LLM-as-judge scoring; achieved 96% pass rate, 97.0 average final score, 0% eval error rate, 100% required-tool/tool-order/safety/handoff accuracy, and 11.16s p50 / 22s p99 agent latency.

Reach out for AI engineering roles, collaborations, or applied AI projects.