•Possessing strong self-learning abilities allows me to be a cross-disciplinary software engineer/data scientist. •Proficient in training deep learning models for Computer Vision, NLP, such as fine-tuning BERT or ViT models for downstream tasks. •Proficient in developing deep/machine learning models using TensorFlow, Keras, and Scikit-learn. •Successfully completed Kaggle competitions, achieving a ranking of 8th place and a top 8.4% performance on the Private Leaderboard. •Experienced in data cleaning, feature engineering, statistical analysis, and data visualization using Python. •Passionate about simplifying problems and writing code with high readability to reduce maintenance and error correction time.