Engineer Intern November 2023

LY THUY PHUONG

AI Engineer

ABOUT ME

**************@*****.***

District Thu Duc, HCMC

091*******

linkedin.com/in/phuonglythuy119/

WORK EXPERIENCES

AI Engineer Intern

MITEK J.S.C 2/2023-3/2023

Speaker at Seminar Unsupervised/ Supervised learning Held by ML&IoT Lab July 2022 7/2022

Teaching Assitant

"Machine Learning and Basic Python Course" organized by ML&IoT Lab 6/2022-7/2022 EDUCATION

Telecommunication - Electronics Engineer

Ho Chi Minh City University of Technology 08/2019-11/2023 (expected) SKILLS

Python (Intermediate) MATLAB(Intermediate) Machine Learning/Deep Learning Algorithms(Intermediate) Computer Vision Natural Language Processing (NLP) Github HTML, CSS, JAVASCRIPT(Basic) Object-Oriented Programming Tensorflow (Basic) Microsofts Analytical Logic Thinking Problem Solving Teamwork Leadership

I have experience in applied Arti cial Intelligence to solve real-world problems (Computer Vision and NLP); Strong skills for coding (Python), algorithms (machine learning, deep learning); good communications skills; proven teamwork with excellent problem-solving skills; commi ed to continuous learning and passion for new technology.

I am passionate to grow in AI Engineer eld and do not hesitate to challenge myself to ultilize my skills and knowledge to e iciently perform and create value for the company. Learning and aming to be a Computer Vision Engineer in the future.

Research 3D reconstruction models: HMR, HyrIK, ExPose, framework MMHUMAN3D, ... Run demo and debug these models.

Run SmoothNet models to smooth 3D meshes from these models. Role as a speaker about Hierarchical Clustering

Discuss about other algorithms: PCA, Anomaly Detection, KNN, Kmeans, ... Support lecture in class activities (check a endances, explanation) Support admin tasks

GPA: 8.04

Scholorship for outstading performance in Academic and Extracurricular Activities (Fall Semester 2021 & Spring Semester 2022 & Fall Semester 2022)

Scholorship for all-around good student 2022 (GPA: 8.82) Relevant coursework: · AI Computer Vision Image Proccesing Statistics Linear Algebra Calculus Database

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CERTIFICATES

TOEIC (Listening & Reading) - 715 points (12/2012) Machine Learning Specialization (DeepLearning.ai) (8/2022) Machine Learning with Python (IBM) (11/2022)

PROJECTS

Semantic Segmentation of Digital Maps Using Google Satellite Images On Process Plagiarism Detector 8/2022-10/2022

Compressed Image

Text Extraction from ID Card 12/2022

Face Detection

Object Classi cation

Prepare data:

Collect satellite images from Google Earth.

Label data into 12 classes: street, tree, water, residential, urban, buildings, industrial and commercial, vacant land in urban, sparse forest park, grass, agricultural, sparse urban. (Colorize these classes to visullize). Build model:

Using E icientNet-B0 as an encoder, UNet-decoder as a decoder Evaluate:

Compare to various encoder architecture (VGG11, ResNet18, E icientNet-B1) with loss functions(Categorical Cross Entropy, Dice Loss)

Developed by ML&IoT Lab

Description: Website for checking plagiarism for Capstone Project, Thesis in Ho Chi Minh City University of Technology

Detail:

Preprocessing PDF le using TF-IDF, pdfminer, ...

Using PhoBert to convert text to Embedding vector

Using Kmeans for arranging similar Thesis into thier cluster. Description: Using Kmeans to decrease the number of colors in image. Purpose: Reduce storage but do not lose much image quality. Description: Extract important infomation in ID Card (ID number, Name, Date of Birth, Address, Country) Detail:

Detect 4 corner of the card

Detect text in this card

Using OCR to extract text

Description: Implement Viola-Jones Algorithms, using OpenCV Description: Using AlexNet for classifying object in cifar-10 dataset

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