PROJECT
Lung Cancer Predict
Team leader for this project
https://github.com/heyulw/LungCancerPredict
Analyze and use some machine learning to make predictions, while also building a demo with Streamlit
The process includes data cleaning to handle missing values, remove duplicates, and address outliers. Key analyses involve univariate, bivariate, and multivariate techniques to uncover trends, correlations, and patterns over time and across regions
Team leader for this project
Traffic vehicle classification
https://github.com/heyulw/Traffic-vehicle-classification Build a deep learning model with CNN for predictions, and create a demo with Streamlit.
Team leader for this project
Drivable Area Detection
https://www.kaggle.com/code/tailehuc/segformer-drivable-area This is my graduation thesis and is still in progress. In this work, I use the Segformer architecture to perform drivable area segmentation. Team leader for this project
CERTIFICATION
HUFLIT Student Scholarship for Effort in the 2021 - 2022 Deep Learning Specialization
https://coursera.org/share/d9262e837fc6e3f979ba7ec40670af21 DeepLearning.AI TensorFlow Developer
https://coursera.org/share/ee3c73182020b06cd60b8943158e5210 PROFILE
My name is Tai, and I am excited to apply for the
AI Engineer position at TMA Solutions. I have a
strong background in artificial intelligence with
extensive knowledge of Python and deep learning
models.
SKILLS
Knowledge of model training techniques like
prompt/demonstration learning
Familiarity with common model frameworks
like PyTorch, TensorFlow, HuggingFace
Transformers
Strong data analysis and preprocessing skills
for model input
Strong in object-oriented programming with
languages such as C#
Excellent teamwork skills.
Proficient in Python, C#.
CONTACT
Phone: 093*-***-***
Email: ********@*****.***
Facebook: https://www.facebook.com/tai.lehuc.7
EDUCATION
HCMC University of Foreign Languages -
Information Technology (HUFLIT)
GPA:3.26 (Current)
LÊ PHÚC TÀI
Exploring data on Covid-19 cases and deaths
https://github.com/heyulw/Exploring-data-on-Covid-19-cases-and-deaths