MS in Systems Engineering @ Johns Hopkins University
I am interested in building reliable AI systems, especially in the areas of LLM reasoning, retrieval-based systems, and evidence-grounded machine learning.
- Large Language Models
- Retrieval-Augmented Generation
- AI Reliability
- Evidence-Aware Reasoning
- NLP and Semantic Search
- Applied Machine Learning
A lightweight claim verification system that retrieves relevant evidence using sentence-transformer embeddings and applies query-aware reasoning rules to classify claims as Supported, Refuted, or Uncertain.
Tech Stack: Python 路 SentenceTransformers 路 Semantic Search 路 Retrieval 路 Claim Verification
Repository: Evidence-Aware-LLM
- Python
- Machine Learning
- NLP
- Semantic Search
- Sentence Embeddings
- Retrieval Systems
- Data Processing
- Git / GitHub
- Improving my AI/ML project portfolio
- Building stronger foundations in PyTorch and deep learning
- Exploring research opportunities related to LLM reliability and retrieval-based reasoning
Email: qzeng16@jh.edu