Machine Learning Intern

INTRODUCE

As a nal student majoring in Arti cial Intelligence (AI), I want to become an AI Engineer. With 4 years of studying and practicing with several projects at university such as Face Identi cation & Recognition, Image Classi cation... and with DPL, Text Sentiment Analysis or Text to Image Generation. Although I do not have much experience or understanding of current technologies, I will try to constantly improve and learn more. After nearly 4 years of study, I have a solid academic foundation in OOP and algorithmic structures such as Arrays, Linked Lists, Doubly Linked Lists, Stacks, Queues and other subjects and the subjects of statistical probability or linear algebra and important libraries for AI.

NGUYEN TRUONG GIANG

I ntern – Machine Learning (ML)

12/07/2002 ***************@*****.*** District 9, Ho Chi Minh City 098*******

h ps://www.facebook.com/prof ile.php?id=100************ h ps://www.linkedin.com/in/nguyen-truong-giang-52ab70279/

h ps://github.com/GiangCo12

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TECHNICAL SKILL

PROGRAMMING:

Framework:

S/W AND TOOL:

ARTIFICIAL INTELLIGENCE

(AI)

FPT UNIVERSITY

12/2020 - 4/2025

EDUCATION

Python, R, HTML-CSS, SQL,

Java Script

Pandas, Scikit-learn,

Tensorflow, Keras, Pytorch,

OpenCV, NLTK, Spacy, Hugging

face, Matplotlib,Django

Microsoft o ice, Linux, Docker

GPA:3.17/4

EMPLOYEE AND GESTURE MANAGEMENT 3/2024 - 7/2024

PROJECTS

Description: This project is part of the Deep Learning semester, this is a project about 3 data items: determining whether clothes have uniforms or not, gestures to greet customers or not and recognizing employees' faces when coming to work. With this project we worked for more than 10 weeks, we collected a lot of data in many photos as well as from many sources and collected and labeled and trained. Member : 6 ( 4 Developer and 2 collect data and preprocessing) My roles: After receiving fully labeled data, I will face alignment train and face cropping, and nally enhance the data, evaluate a lot of data such as accuracy, Precision, Recall, F1-score, test with each model in accordance with the problem to see which ones are over ing or under ing, design hmtl to put the cam frame from opencv over there and deploy to the web.

Languag,Framework and Model Development : Python, HMTL-CSS, OpenCV, Pandas, Scikit-learn, facenet-

pytorch,Torchvision(ResNet18),Yolov8.pose, CNN

Github: h ps://github.com/GiangCo12/employee-management- system/tree/main

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MOS INTERNATIONAL

INFORMATION

TECHNOLOGY CERTIFICATE

Candidate

7/2019 - 8/2019

ENCOURAGING GOOD

STUDENTS AT THE CITY

LEVEL

Candidate

6/2020

AWARD

ENGLISH

JAPANESE

LANGUAGES

Achieved 890 points with 3

certi cates: Word, Excel and

PowerPoint

City level consolation prize

Professional working

profciency

Very basic

FACE DETECTION AND ATTENDANCE BY OPENCV 9/2024

INTERN

FPT SOFTWARE QUY NHON 3/2024 - 7/2024

INTERN

GRADIENTS TECHNOLOGIES HCM 9/2024 - 12/2024

WORK EXPERIENCES

MACHINE LEARNING WITH BIG DATA

PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT

DEVELOPING AI APPLICATIONS WITH PYTHON AND FLASK

CERTIFICATE

Description: In this project, I use OpenCV's Haar Cascade or DNN models to detect faces from cameras or photos, then extract facial features into a single feature vector. When successfully identi ed, automatically record a endance and save to CSV le or database. Member : 1

Languag,Framework: Python, OpenCV, Numpy, Pandas, PIL Github: h ps://github.com/GiangCo12/Face_a endance During the 4-month internship at this school, I learned a lot about computer vision, object detection tracking, building classi cation models such as SVM, CNN regression or clustering, then training the model to see learning rate or batch size and epochs and using tools to label things like clothes or vehicles. This internship focuses mainly on computer vision and how it works.

With more than 4 months of internship here, I have learned experience in modeling with transformer NLP and LLM, especially participating in the project to develop AI Chatbot to support intelligent Q&A, this project builds an automatic Q&A chatbot using a large language model (LLM) based on GPT-3/4 or BERT model for information retrieval tasks, however, after only nearly 4 months, I still have not been able to produce a standard and accurate paper. That is the experience I learned from LLM during this internship.

h ps://www.coursera.org/account/accomplishments/certi cate/YAF7L 6T6CKRZ

h ps://www.coursera.org/account/accomplishments/certi cate/469P WCFFVEXA

h ps://www.coursera.org/account/accomplishments/certi cate/WV8 WF5CL3TL4

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DJANGO APPLICATION DEVELOPMENT WITH SQL AND DATABASES NEURAL NETWORKS AND DEEP LEARNING

h ps://www.coursera.org/account/accomplishments/certi cate/29JH9 4G4X7CW

h ps://www.coursera.org/account/accomplishments/certi cate/RPRR6 KFPKX71

Contact this candidate