Machine Learning Engineer Intern

093******* *************@*****.**

m

https://www.facebook.co

m/an.le.963716

Gò Vấp, Hồ Chí Minh

Lê Vũ Hoàng An

AI/ML Engineer Intern

I am currently a student majoring in Applied Mathematics and Informatics at the University of Science. I am seeking an internship opportunity to gain hands-on experience and further develop my career in this field. PROJECTS

January 2025 - January 2025

Facial Expression Recognition • Developed an emotion classification model using machine learning and deep learning techniques.

• Implemented data preprocessing (image transformations, standardization, SMOTE balancing).

• Applied feature extraction using PCA to improve model efficiency.

• Trained models including ExtraTrees, XGBoost, and fine-tuned with Optuna.

• Link github: https://github.com/ALV0612/Emotion-classification February 2025 - March 2025

Amazon review classification • Built a BERT-based model for Amazon review spam detection (83.5% accuracy).

• Preprocessed 5000+ reviews, fine-tuned BERT with PyTorch.

• Optimized performance using AdamW optimizer & learning rate tuning.

• Skills: Python, NLP, BERT, PyTorch, Transformers, Scikit-learn

• Link github: https://github.com/ALV0612/Amazon-reviews-classification-with- Bert-classifier

EDUCATION

University of Science

Mathematics and Computer Science

2021 - Present

• Relevant Courses: Machine Learning, Deep Learning, Natural Language Processing

• As a final-year student in Mathematics and Computer Science, I have a background in AI, Machine Learning, and Deep Learning. Proficient in Python, PyTorch, and NLP, I am eager to apply my expertise in model

SKILLS

Python

C++ / C

Computer Vision

Natural Language Processing

Critical thinking

development and deployment through an AI Engineer

internship

Pytorch

Motivated Attitude

Github, Docker, Jupyter Notebook

IELTS 5.5 – Able to understand and communicate in

technical discussions

INTERESTS

• Exploring newly released AI models, particularly in NLP and Computer Vision

• Experimenting with model fine-tuning and optimization techniques

• Engaging in sports activities, especially football and running to maintain a balanced lifestyle.

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