I'm a 4th-year Information Technology student at VNUHCM–University of Science, with a 3.8/4.0 GPA, passionate about building practical AI systems.

My focus: LLMs · RAG · Agentic AI · Machine Learning

I bridge research and engineering through model fine-tuning, retrieval optimization, intelligent workflows, and end-to-end AI applications.

Small Language Models for Better RAG Retrieval

• Fine-tuned Qwen2.5-0.5B-Instruct using 4-bit QLoRA.
• Built query rewriting and retrieval with Sentence Transformers, FAISS, and RRF.
• Recall@10: 0.52 → 0.79
• MRR@10: +62.49% relative improvement
• Developed evaluation pipelines and FastAPI inference.

Hybrid Recommendation & Conversational AI

• Combined Implicit ALS, TF-IDF, Qdrant, and LightGBM LambdaRanker.
• Applied MMR for diversity-aware re-ranking.
• Built a LangGraph recommendation agent with natural-language-to-SQL.
• Integrated FastAPI, React, PostgreSQL, Redis, and Docker.

LLM-Powered Machine Learning Automation

• Orchestrated ML workflows using Gemini, LangChain, and LangGraph.
• Automated data validation, model comparison, and hyperparameter tuning with Optuna.
• Built interfaces for dataset upload, evaluation, and prediction.

Languages: Python · C++ · SQL

ML / Deep Learning: PyTorch · scikit-learn · Transformers · LightGBM · Optuna

LLM / Retrieval: LangChain · LangGraph · RAG · QLoRA · FAISS · Qdrant · LanceDB

Engineering: FastAPI · React · PostgreSQL · Redis · Docker · Git

University of Science, VNUHCM · B.S. in Information Technology
Sep 2023 – Expected 2027 · GPA: 3.8/4.0

Building intelligent systems. Turning ideas into working AI.