Computer Vision, Machine Learning

ABOUT ME

I am an ISTJ person, honest and straightforward, with a high sense of responsibility, dedicated to work. I always look forward to learning and doing di erent projects to enhance my experience. I want to bring my knowledge, experience and skills to successfully complete projects and develop my skills. Trần Gia Nghĩa

20/03/2001 *****************@*****.*** 098******* SoulOfWindTGN 1 of 2

PYTHON

NODEJS

C#

JAVASCRIPT

C++

SKILLS

AI TEMPO RUN

2ND PRIZE

2/2022

HCM AI CHALLENGE

FINAL ROUND

11/2022

PRIZES AND

AWARDS

TENSORFLOW, PYTORCH,

PANDAS, NUMPY, SCIKIT-LEARN,

OPENCV, MATPLOTLIB

EXPRESS.JS

WINDOWS FORMS .NET

XAMARIN

JQUERY

AI-CLUB UIT

ICT-HCM

COMPUTER SCIENCE

HCM - VNU UNIVERSITY OF INFORMATION TECHNOLOGY 09/2019 - 07/2023 EDUCATION

TRẦN GIA NGHĨA

Last-year student

Phone : 098*-***-***

Email : *****************@*****.***

REFERENCES

PERSON SEARCH SYSTEM

PROJECTS

GPA: 8.96

5 scholarships / 6 semesters

2 student scienti c research topics

Description: the person search system based on image or descriptive sentences using deep learning.

Applying 2 deep learning models to the problem of nding people by images or descriptive sentences.

Integrate edge computing, server processing and object detection

(YOLOv5) model to collect data from surveillance cameras. Build a search system using Elasticsearch.

2 of 2

FAIR 2022

1 ACCEPTED SCIENTIFIC PAPER

03-04/11/2022

INTERESTS

Coding

Research

Football

Games

VUSTA

DRAGON FRUIT CLASSIFICATION

BLUR IMAGE DETECTION

FLIGHT TICKET BOOKING

HEALTH TRACKING APP

VOLUNTARY BLOOD DONATION

Ho Chi Minh City Humanitarian Blood Donation Center 9/2021 REPORT AT FAIR2022 (NATIONAL SCIENTIFIC CONFERENCE) Vietnam Academy of Cryptography Techniques 11/2022 ACTIVITIES

Description: A small project using deeplearning to classify good and bad dragon fruit.

Collect real dragon fruit image data in Binh Thuan. Labeling and pre-processing data.

Build 2 deep learning model base on UNet and ENet for prediction. Description: The project uses image processing techniques (edge and frequency information) combined with some machine learning models to recognize blurred images.

Applying edge lters (Sobel, Robert, Laplace) combined with the Fast Fourier Transform discrete signal transformation algorithm to extract image features.

Building and analyzing 3 machine learning: SVM, Random Forest and Multi Layer Perceptron for prediction.

Build web demo using Python with Flask framework.

Description: The website allows users to view available flights, select seats and order tickets. This website Nodejs as back-end language and Bootstrap as front-end language.

Design and decide on the visual layout of the website. Design and build databases using MySQL.

Optimize web content for optimal speed and performance. Description: The application is designed to have a number of functions such as: calculating health indicators, nutritional value information of some foods, exercise routes, scheduling, ...

The application is designed using Windows Forms .NET with GunaUI Nuget to support interface design.

Design interface and functionality.

Contact this candidate