Machine Learning Engineer

Nguyen Anh Tuan

Ho Chi Minh, Viet Nam • +84-934******• ***********@*****.*** • 16-03-2001 • github.com/AnhTuan160301 My name is Tuan, and I recently graduated from International University. I had about 6 months working as the Intern Java Developer in a small startup. Then, I spent considerable time for my thesis project about applications of machine learning in the higher education. I possess knowledge in MLOps, ML algorithms, and Responsible AI. From this chance, I am eager to apply technical knowledge to contribute to innovative projects. S k i l l s

• Experience in Python and Java programming language • Reading and communicating in English.

• Having knowledge and practical experience about concepts of deep learning, machine learning and generative AI.

• Design of AI productions and Responsible AI. • Large Language Models (LLM) with fine-tune, RAG, … P r o j e c t s

JUN 2024– OCT 2024

Practical Projects Python

Implementing some applications of deep learning algorithms such as LSTM, Graph Neural Network, Transformer:

- Advanced stock pattern prediction using LSTM with attention mechanism

- Graph neural network for traffic volume forecasting

- Brain tumor detection using convolutional neural network. MAY 2024 – JUL 2024

Build an LLM Hospital Chatbot with Langchain Personal Project Python We built a RAG chatbot that retrieves both structured and unstructured data. Chat model uses LLMs under the hood and prompt templates as predefined recipes for generating prompts for language models. It also supports knowledge-based queries, provides the latest news updates engages in conversations, analyzes CSV data, and explores PDF content.

SEP 2023 – MAR 2024

Data Driven System for Predicting Academic Grade and Dropout Thesis Project Python and Java Implementing the machine learning models to predict the grade of student and dropout rate in up-coming course based on previous required or outline courses' grades with the temporal dynamic characteristic approach. Implementing the Model Interpretability by finding courses that contribute to the target one. And, then, we compare the performance between modern architectures and traditional models. E ducation

MAY 2024

Bachelor of Information Technology International University – Vietnam National University

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