Vietnamese Q&A Language Model on Health and Nutrition
Domain-specific Q&A model for Vietnamese using LoRA and Quantization
Portfolio
Greetings! I’m currently pursuing my Master’s in Computational Data Science at Georgia Tech’s College of Computing, set to graduate in December 2023. With 5+ years of practical experience in data science and analytics, I’ve honed my skills in building and deploying Machine Learning models, with a focus on Natural Language, Recommender Systems & Personalization, and User Understanding. In addition, leading a data science team gave me a unique perspective on how ML systems could be envisioned and developed for various business needs and for the benefit of the end users.
My research interests are primarily centered around Ranking models, Information Retrieval, and the innovative integration of Graph Neural Networks and the Transformer architectures into this domain. I’m also excited about Multi-modality Generative AIs like LLMs and Diffusion models, particularly in areas concerning User/item Embeddings, Explainable Recommendations, and Retrieval-Augmented Generation (RAG).
Latest works
Recommender system using GAT and GraphSAGE
This project approaches recommender system as a link prediction problem on a heterogeneous graph
Generative inpainting
Survey, implement and evaluate 3 generative inpainting methods
Cetasearch
A conversational search engine built with pre-trained Transformers and ChatGPT API
Automated essay scoring
Automated Essay Scoring for 8th-12th grade English learners
Interactive anime recommender
An interactive anime group recommendation system
Sequence learning for classification
Applying Sequence Classification To Grocery Data Using Product Embeddings