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I’m a DSAI student at Hanoi University of Science and Technology (HUST) with a strong focus on AI Engineering, particularly Large Language Models (LLMs), Agentic Systems, and MLOps. I have hands-on experience building end-to-end AI systems, from model training and optimization to deployment at scale on cloud-native infrastructure.
My long-term goal is to become an AI Engineer who can design scalable, reliable, and production-ready AI systems, combining solid foundations in Machine Learning, Distributed Systems, and System Design.
- Machine learning: scikit-learn
- Data science: pandas, NumPy
- Deep learning: PyTorch, TensorFlow, Keras
- Backend for ML systems: FastAPI
- LLM: Hugging Face, PyTorch, TensorFlow
- Agent: Langchain, Langgraph, Llama-index, MCP, A2A (Agent-to-Agent)
- Vector DB: Weaviate, Qdrant
- Fine-tuning: Full fine-tuning, LoRA / PEFT
- Optimization: Distillation, Pruning, Quantization
- Alignment: RLHF, AIHF, DPO, PPO
- Experiment tracking & data versioning: MLflow, DVC, W&B
- CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD
- Containerization: Docker
- Orchestration: Kubernetes
- Monitoring: Grafana, Prometheus
- AWS: S3, EC2, EKS, Sagemaker
- GCP: GCS, GKE
- Apache Spark, Hadoop
- Airflow
- Apache Kafka, Apache Flink
- Speech processing: ASR, TTS, Speech-To-Text
- System: Data Structures & Algorithms, System Design, Distributed Systems
