I'm a Software Engineering student at the University of Information Technology (UIT - VNUHCM).
My interests include:
- Neuro-Symbolic AI
- Natural Language Processing (NLP)
- Neural Machine Translation (NMT)
- Retrieval-Augmented Generation (RAG)
- Knowledge Graphs
- Trustworthy AI Systems
I enjoy turning research ideas into real-world AI applications.
- AI Engineering Intern Preparation
- Neural Machine Translation
- Data Structures & Algorithms
- Trustworthy AI Reasoning
- Retrieval & Verification for LLM Systems
Research-oriented legal QA system combining:
- GraphRAG
- Symbolic reasoning
- Backward chaining
- Entailment-based verification
- LLM-based answer generation
Status:
- Paper under preparation for conference submission.
Research project using graph-enhanced retrieval and LLMs.
Highlights:
- Ontology-based knowledge graph
- Graph retrieval + semantic retrieval
- Academic advising assistant
- Regulation-grounded question answering
Achievements:
- SEAPP 2025 Showcase
- Submitted to ICCE 2026
Paper:
"A Graph Retrieval-Augmented University Chatbot for Supporting Student Academic Advising in Higher Education"
Features:
- Hybrid RAG chatbot
- Personalized learning assistant
- Two-tower recommender system
- FAISS retrieval
Tech:
PyTorch · FastAPI · FAISS · Llama 3
Distributed microservices platform featuring:
- Kafka event streaming
- Redis Geo
- CQRS
- gRPC
- PostgreSQL
- Python
- C++
- Java
- TypeScript
- PyTorch
- Transformers
- RAG
- GraphRAG
- FAISS
- Knowledge Graphs
- Neuro-Symbolic Reasoning
- FastAPI
- NestJS
- Kafka
- Redis
- REST APIs
- gRPC
- Docker
- Linux
- PostgreSQL
- MongoDB
A Graph Retrieval-Augmented University Chatbot for Supporting Student Academic Advising in Higher Education
- Submitted to ICCE 2026
Verification-Centric Neuro-Symbolic Legal Reasoner for Vietnamese Legal Question Answering
- Conference submission in progress
📧 Email: [email protected]
💼 LinkedIn: https://linkedin.com/in/pham-thi-kieu-diem-a954342aa
🌐 GitHub: https://github.com/kieudiempham
⭐ Building trustworthy AI systems through reasoning, retrieval, and research.



