Machine Learning Information Technology
Resume:
SKILLS
Programming Language
Python
C++
Framework
PyTorch
Tensorflow
Specialized Field
Machine Learning
AI algorithms
Computer Vision
Database
MySQL
Other Technical Skills
OOP, DSA
Version control: Git/Github
Soft Skills
Teamwork and problem
solving skills
Logical thinking and
analytical skills
Flexibility and adaptability
LANGUAGE
TOEIC Listening & Reading 715
TOEIC Writing & Speaking 270
Proficient in reading and
understanding documents
EDUCATION
TRẦN MINH QUÂN
AI ENGINEER
CONTACT
************@*****.***
University of Information
Technology - HCM VNU UNIVERSITY OF INFORMATION TECHNOLOGY - VIETNAM NATIONAL UNIVERSITY, HO CHI MINH CITY
Honor Program of Computer Science
GPA current: 8.89/10
Participated in the UCPC competition organized by UIT university for students throughout the southern region
Participating in scientific research for students
2022 - Current
2019 - 2022
NGUYEN BINH KHIEM HIGH SCHOOL FOR THE GIFTED
Specialize in Informatics
GPA: 9.3/10
Consolation prizes in informatics subject of province Quang Nam 2020 Consolation prizes in the Competition for Excellent students of Major high schools in the Northern Delta and Coastal Areas 2020 Participated in the informatics competition for students in the Central and Western Highlands regions
PROJECTS
INTRODUCTION
As a third-year student majoring in Computer Science, I am excited about the opportunity to apply for the AI Engineer Intern position. I hope to apply the specialized knowledge I have gained in my studies to contribute to the company and further develop my research and data collection skills. I am eager to learn and grow in an environment that will provide valuable experience in Artificial Intelligence .
USING DEEP Q-LEARNING TO PLAY 2048 GAME
(With Pytorch implementation)
SKIN LESION CLASSIFICATION
Implemented Deep Q-Learning, Double DQN, and Dueling DQN algorithms to enhance learning efficiency and performance. Achieved high scores consistently, demonstrating the effectiveness of the trained model.
Source code: https://github.com/Be-Tap-Code/Solve-2048-by-DQN- Double-DQN-and-Dueling-DQN
Implemented a machine learning pipeline to classify skin lesions using various algorithms.
Developed and trained models using SVM, KNN, and Random Forest algorithms to classify skin lesions based on image data. Source code: https://github.com/Be-Tap-Code/Skin-Cancer-Classification https://github.com/Be-Tap-
Code
BRAIN TUMOR DETECTION IN MRI IMAGES
Conducted a scientific research project focused on detecting brain tumors from MRI images using advanced machine learning techniques. Implemented and trained deep learning models, including Convolutional Neural Networks (CNNs) and ResNet architectures, to classify MRI images for brain tumor detection.
Source code: https://github.com/Be-Tap-Code/NCKH-Brain-Tumor
Contact this candidate