Information Technology Virtual Assistant

Nguyen Ta Bao Email : **********@*****.***

AI Engineer Github : tabaochoke

Mobile: +84-971-***-***

Education

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VNUHCM - University of Science Ho Chi Minh City, Viet Nam Bachelor of Information Technology; Major: Artificial Intelligence; Aug. 2021 – Present GPA: 3.28/4.00

Personal Projects

• Fashion Chatbot and Virtual Fitting Room

Led a team of 5 members to utilize the Nike and Adidas datasets provided by the organizers of the Vietnam Datathon to develop an interactive Virtual assistant and a Virtual fitting room.

Used State of the Art Computer Vision model Dressing in Order to enable users to try on clothes and arrange the sequence of garments within their outfit.

Leveraged Large Language Model (Mixtral-8x7B-Instruct-v0.1), Blip Image Captioning Model and RAG technique for chatbot which can recommend outfits for users, giving feedback based on their clothes images

Technologies: Python, HuggingFace, Pytorch, Chainlit, LangChain

• Spotify Data Analysis and Chatbot Recommender

Conducted extensive analysis of music data. Build a chatbot music recommender system based on music data.

Collected 5000 rows of music data by using Spotify API and Genius API.

Leveraged Large Language Model (Mixtral-8x7B-Instruct-v0.1) and RAG technique for chatbot which can communicate, recommend songs, explain songs lyrics, and give song details information for the user.

Technologies: Python, Pandas, Numpy, Langchain, Chainlit, LangChain, HuggingFace, Pytorch

• Vietnamese Text Readability Model

Attained State-of-the-Art (SOTA) result on Vietnamese Text Readability Corpus.

Leveraged the PhoBERT v2 pre-trained model in conjunction with an LSTM layer, achieving an accuracy of 0.9397 and an F1-macro score of 0.934 (SOTA accuracy result is 0.94).

Techs: Python, HuggingFace, Pytorch.

Programming Skills

• Machine Learning frameworks: Pytorch, HuggingFace, Keras, Scikit-learn, OpenCV, LangChain, ChainLit.

• Programming Language : Python, C++, SQL.

Certification

• Machine Learning Specialization - Coursera 2022.

• Deep Learning Specialization - Coursera 2023.

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