Computer Vision Intern

LE QUANG TRUNG

INTERNSHIP/ FRESHER AI ENGINEERING (COMPUTER VISION)

Dob: September 17, 2000

Gender: Male

Phone: 091*-***-***

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

Address: Ho Chi Minh, Vietnam

OBJECTIVE

Takes advantage of coding skills and experience from previous projects, which I worked on in my university, to strive to become a professional AI Engineering and bring a lot of value to customers. From that, I will contribute to the development of your Company. EDUCATION

Sep 2018 - Now HCMC University of Technology and Education Major: Computer Engineering Technology

GPA: 7.7/10

SKILLS

Coding Languages : - Python (advance)

- C (basic)

- SQL (basic)

Framework : - Tensor ow (advance)

- Keras (basic)

- Pytorch (basic)

Languages : + English : ability to read the scienti c papers and communicate PROJECTS

Object Detection Python, Pytorch, YoloV5

[March 2021 - June 2021]

• Learned the basics of Deep Learning such as: back-propagation, optimization, CNN, RNN, ..

• Learned Yolov5 network architecture and implement projects with custom datasets. Human Activities Recognition Python, Tensor ow, LSTM, MediaPipe

[September 2021 - Demcember 2021]

• De ne human skeleton using MediaPipe library and train with LSTM network to predict baby's actions

• Learned LSTM network architecture and implement projects with custom datasets Design Drowsiness Detection System For Driver Python, Tensor ow, HOG, LSTM, Rasberry Pi4

[March 2022 - June 2022]

• Used HOG algorithm for face position detection.

• Used the ratio of eyes to train with LSTM network and deployed on Raspberry Pi 4

• Built a suitable LSTM network architecture for this project. Design and Implementation of Baby Monitoring System Python, Tensor ow, LSTM, MediaPipe, Jetson Nano

[October 2022 - Demcember 2022]

• Baby monitoring system was deployed on Jetson Nano

• De ne human skeleton using MediaPipe library and train with LSTM network to predict baby's actions.

• Calculate the ratio of the eyes to and train with the LSTM network to detect the baby's waking.

• Detect the baby's out by drawing a polygon and select a number of points on the baby's skeleton, if a point is out, the system will warn.

• Link github: https://github.com/trunglee17/Monitoring-Baby-System-based-on-Deep-Learning WORK EXPERIENCE

March 2019 - October 2019 Coffee Shop

Part-time Staff

Achievements and skills gained:

- Improve English Communication Skill.

CERTIFICATIONS

[ May, 2022 ] Receiving certi cation of participated in Robot arms ACTIVITIES

Sep 2018 - Now HCMC University of Technology and Education Role as a participant

- Participate in sports events organized by the school every year.

- Participate in volunteer blood donation activities.

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