Đậu Quốc Duy

Đậu Quốc Duy

I like to build scalable backend systems, real-time services and AI agent applications

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Education & Programs
2022 - 2026
HUST Logo
I am pursuing my Bachelor of Science in Computer Science at Hanoi University of Science and Technology (HUST / ĐH Bách Khoa Hà Nội).
7/2026 - Present
I am participating in the AI in Action (Cohort 3) program at VinUniversity, focusing on advanced AI systems, LLM agents, and practical AI applications.
Experience & Projects
4/2025 - 7/2026
I was a Software Engineer (Part-time) at DNSE Securities JSC.
  • Built an AI-powered smart stock trading system using Golang (Gin Framework) within a microservices architecture integrated via Kafka.
  • Designed and implemented real-time stock chatbot features leveraging Nakama WebSocket for interactive and scalable communication.
  • Managed CI/CD pipelines with GitLab Runner and deployed microservices on Kubernetes, ensuring reliable delivery processes.
7/2026 - 8/2026
I built WalletCare AI — an AI Agent platform for e-wallet enterprises to automate transaction dispute investigation and customer support, demonstrated with a simulated e-wallet (VPay).
  • Developed multi-step reasoning agent workflows using LangGraph and FastAPI with PostgreSQL database.
  • Implemented Human-in-the-Loop approval and tool calling for zero-hallucination investigation.
  • Built the web interface using Next.js and Tailwind CSS; containerized and deployed services using Docker on VPS.
1/2026 - 5/2026
For my graduation capstone project, I developed LangLearn AI — an intelligent language learning platform with FSRS spaced repetition, AI speaking buddy, and adaptive learning analytics.
  • Developed RESTful APIs using Go (Gin), PostgreSQL, and Redis.
  • Implemented FSRS algorithm and LLM integration for AI conversational practice and smart flashcards.
  • Built web interface with React 19, TypeScript, and Tailwind CSS; containerized and deployed using Docker.
9/2024 - 12/2024
I developed backend systems for mobile applications:
  • FatCat: Flashcard vocabulary learning application (Node.js, MySQL, AWS EC2).
  • Benri: Grocery shopping and food inventory management application (Node.js, MongoDB, AWS EC2).
Skills & Languages
Tech Stack
A summary of technical tools and technologies I work with:
  • Back-End: Golang, Node.js, Java, Microservices Architecture, Apache Kafka, WebSocket, Nakama, RESTful APIs, Redis.
  • Databases: PostgreSQL, MySQL, MongoDB.
  • Front-End: Flutter (MVVM architecture), React 19, Next.js, TypeScript, Tailwind CSS.
  • DevOps / CI-CD: GitLab CI/CD, GitLab Runner, Docker, Kubernetes, AWS EC2, Git.
  • AI Engineering: LangGraph, LLM integration, Prompt Engineering, Claude Code, Cursor AI.
  • Languages: English (VSTEP B1 ~ TOEIC 550), Japanese (JLPT N4).