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Computer Vision, Image Processing, Python, C++

Location:
Ho Chi Minh City, Vietnam
Salary:
500
Posted:
August 07, 2022

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Resume:

BÙI

NGỌC CHÍNH

AI Engineer Fresher

CAREER GOAL

Become a Data Scientist with extensive

knowledge in many fields such as AI, ML,

Math to solve problems such as autonomous

vehicles, time-series forecasting

KNOWLEDGE BASE

Programming language: Python (OpenCV,

Numpy, Pandas, Mathplotlib, Seaborns),

C++, C#, SQL

Tools: VSCode, Microsoft SQL Server,

Github, Trello, Jira

Math: Linear Regression, PCA, Statistic

and Probability

Image Processing: Noise removal, Binary

processing, Edge detection

Computer Vision: OCR, Object Tracking,

Object Detection

CONTACT

Phone/Zalo: 097*******

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

LinkedIn: linkedin.com/in/hcmus-bnchinh

EDUCATION

GPA: 3.27

Major: Computer Vision and Robotics

Ho Chi Minh University of Science (KHTN)

BACHELOR OF SCIENCE IN INFORMATION TECHNOLOGY

HOBBIES

Playing games with friends after working, learning. Watching movies at movie theater in some holidays. Listening to music for relaxing.

Watching soccer matches in EPL or C1.

Enjoying coffee.

WORK EXPERIENCE

Research about OCR models and build a complete OCR product with support from mentors:

Read survey papers, overview blogs about OCR.

Try to use repositories of models on Github.

Train a recognization model(Paddle OCR).

Research spelling correction, character correction for post- processing.

Learn how to plan tasks and be reviewed by mentors in a sprint following Agile Scrum.

TMA Innovation

AI ENGINEER INTERN, MAY 2022 - AUGUST 2022

PROJECTS IN SCHOOL

Role: Leader and researcher

Task:

Read papers and writing reports.

Train model.

Plan.

Knowledge after doing project:

Plan a project

Read a scientific paper

Google Colab

Yolov5

Write a report following IEEE format

OBJECT DETECTION

Role: Leader and researcher

Task:

Read documents for writing reports.

Prepare slide for presentation.

Plan for project.

Knowledge after doing project:

How a PCA model work

PRINCIPAL COMPONENTS ANALYSIS



Contact this candidate