AI Engineer Intern
Resume:
Lê Xuân Dũng
AI Engineer Intern
Gender: Male
Phone: 085*******
Email: **********@*****.***
Address: Dai Mo, Ha Noi
Linkedin: https://www.linkedin.com/in/l%C3%AA-xu%C3%A2n-d%C5%A9ng-435836266/ Github: https://github.com/xn-dung
OBJECTIVE
A proactive and dedicated IT student passionate about Artificial Intelligence. I am a quick learner, highly committed to my work, and thrive in collaborative environments. I am eager to secure an AI internship where I can apply my skills, contribute to meaningful projects, and grow professionally.
EDUCATION
2022 - Present Posts and telecommunications Instiute of technology Information Technology
GPA: 3.71/4
PROJECT
Feb 2025 - Apr 2025 CAR CLASSIFICATION USING RESNET GROUP PROJECT Leader
• Description : Developed a fine-grained car classification model on the Stanford Cars dataset using transfer learning with ResNet-50. Applied data preprocessing, augmentation, and optimization techniques in PyTorch with GPU acceleration to classify 196 car models accurately
• Responsibilities:
• Researched ResNet-50 architecture and applied transfer learning for car classification.
• Led development of the training pipeline using PyTorch: preprocessing, augmentation, and evaluation.
• Managed dataset preparation: downloading, organizing, and labeling the Stanford Cars dataset.
• Applied data cleaning and augmentation to enhance model generalization.
• Assigned tasks, coordinated team efforts, and ensured project deadlines were met.
• Built and deployed a web app for real-time car image classification using the trained model
• Tools : Pytorch, Opencv, ReactJS
March 2025 -
June 2025
SIGN LANGUAGE GROUP PROJECT
Member
• Description : Developed a prototype system for translating American Sign Language gestures into English text, using deep learning techniques to support communication for individuals with hearing or speech disabilities. The data was self-collected based on standard ASL gestures
• Responsiblities:
• Built and trained an LSTM model to capture temporal patterns of gesture sequences from keypoints vectors
• Implemented a Seq2Seq architecture with GRU layer to convert sequences of learned gesture features into coherent English text.
• Tools: Pytorch, Mediapipe,OpenCV
ACTIVITIES
2024 - Present AI Research Group
Member
I am a member of an AI lab led by Dr. Dang Hoang Long. As part of the team, I focus on exploring background knowledge and studying research-related concepts to strengthen my understanding and contribute to ongoing projects.
CERTIFICATIONS
April 2019 IELTS 5.5
Jan 2023 Naver application algorithm certificate
May 2025 NVIDA Fundamentals of Deep Learning
HONORS & AWARDS
2022 - Present Awarded PTIT's excellent Academic Encouragement Scholarship for five consecutive semesters 2024 Ranked in the Top 26 in the Final Round of ICPC PTIT 2024 2025 Awarded VPBANK’s Scholarship
SKILLS
Programming skill C/C++, Python, Java, JavaScript
AI/ML & Data Science
Tools
PyTorch, OpenCV, MediaPipe, NumPy, Pandas, Matplotlib Teamwork Able to collaborate effectively in diverse teams, contributing ideas, supporting team members, and resolving conflicts to achieve common goals
Problem Solving and
Critical Thinking
Able to analyze problems logically, evaluate solutions effectively, and make data-driven decisions in technical and AI-related tasks
Research and Self-
learning
Able to read papers to understand current developments, and actively self-learn related technical skills to apply knowledge in practic
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